diff --git a/data/full-ome-zarr-examples/example1.zarr/level0/c/0/0/0/0 b/data/full-ome-zarr-examples/example1.zarr/level0/c/0/0/0/0
new file mode 100644
index 0000000..98a6793
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diff --git a/data/full-ome-zarr-examples/example1.zarr/level0/zarr.json b/data/full-ome-zarr-examples/example1.zarr/level0/zarr.json
new file mode 100644
index 0000000..a3f706b
--- /dev/null
+++ b/data/full-ome-zarr-examples/example1.zarr/level0/zarr.json
@@ -0,0 +1,39 @@
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+  "shape": [
+    60,
+    2,
+    256,
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+  ],
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+  "attributes": {},
+  "zarr_format": 3,
+  "node_type": "array",
+  "storage_transformers": []
+}
\ No newline at end of file
diff --git a/data/full-ome-zarr-examples/example1.zarr/level1/c/0/0/0/0 b/data/full-ome-zarr-examples/example1.zarr/level1/c/0/0/0/0
new file mode 100644
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diff --git a/data/full-ome-zarr-examples/example1.zarr/level1/zarr.json b/data/full-ome-zarr-examples/example1.zarr/level1/zarr.json
new file mode 100644
index 0000000..26a9b9b
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+++ b/data/full-ome-zarr-examples/example1.zarr/level1/zarr.json
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+  "shape": [
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+  ],
+  "attributes": {},
+  "zarr_format": 3,
+  "node_type": "array",
+  "storage_transformers": []
+}
\ No newline at end of file
diff --git a/data/full-ome-zarr-examples/example1.zarr/level2/c/0/0/0/0 b/data/full-ome-zarr-examples/example1.zarr/level2/c/0/0/0/0
new file mode 100644
index 0000000..235d5fb
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diff --git a/data/full-ome-zarr-examples/example1.zarr/level2/zarr.json b/data/full-ome-zarr-examples/example1.zarr/level2/zarr.json
new file mode 100644
index 0000000..560c4a5
--- /dev/null
+++ b/data/full-ome-zarr-examples/example1.zarr/level2/zarr.json
@@ -0,0 +1,39 @@
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+  "shape": [
+    60,
+    2,
+    64,
+    64
+  ],
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+  "chunk_grid": {
+    "name": "regular",
+    "configuration": {
+      "chunk_shape": [
+        60,
+        2,
+        64,
+        64
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+  },
+  "chunk_key_encoding": {
+    "name": "default",
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+    }
+  },
+  "fill_value": "NaN",
+  "codecs": [
+    {
+      "name": "bytes",
+      "configuration": {
+        "endian": "little"
+      }
+    }
+  ],
+  "attributes": {},
+  "zarr_format": 3,
+  "node_type": "array",
+  "storage_transformers": []
+}
\ No newline at end of file
diff --git a/data/full-ome-zarr-examples/example1.zarr/zarr.json b/data/full-ome-zarr-examples/example1.zarr/zarr.json
new file mode 100644
index 0000000..f641f31
--- /dev/null
+++ b/data/full-ome-zarr-examples/example1.zarr/zarr.json
@@ -0,0 +1,239 @@
+{
+  "attributes": {
+    "ome": {
+      "version": "0.6",
+      "multiscales": [
+        {
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+            {
+              "name": "physical",
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+                  "unit": "um",
+                  "longName": null
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+                  "name": "c",
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+                  "discrete": true,
+                  "unit": null,
+                  "longName": null
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+                  "type": "space",
+                  "discrete": null,
+                  "unit": "um",
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+                  "unit": "um",
+                  "longName": null
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+                  "unit": "um",
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+                  -0.7071067811865475
+                ],
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+                  0.7071067811865476
+                ]
+              ],
+              "path": null
+            }
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+          "metadata": null,
+          "name": "Example_Image",
+          "type": null
+        }
+      ]
+    }
+  },
+  "zarr_format": 3,
+  "consolidated_metadata": null,
+  "node_type": "group"
+}
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diff --git a/pyproject.toml b/pyproject.toml
index b1e40a2..94cc7e5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -53,13 +53,19 @@ optional-dependencies.doc = [
   "sphinxcontrib-bibtex>=1",
   "sphinxext-opengraph",
 ]
-optional-dependencies.sandbox = [
-  "jupyter",
-]
 optional-dependencies.test = [
   "coverage>=7.10",
   "pytest",
 ]
+optional-dependencies.sandbox = [
+  "jupyter",
+  "dask-image",
+  "scikit-image",
+  "xarray",
+  "networkx",
+  "matplotlib",
+  "ipympl",
+]
 # https://docs.pypi.org/project_metadata/#project-urls
 urls.Documentation = "https://ngff-transformations.readthedocs.io/"
 urls.Homepage = "https://github.com/BioImageTools/ngff-transformations"
diff --git a/sandbox/xarray_coord_transform_index.ipynb b/sandbox/xarray_coord_transform_index.ipynb
new file mode 100644
index 0000000..dec063c
--- /dev/null
+++ b/sandbox/xarray_coord_transform_index.ipynb
@@ -0,0 +1,3130 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ad05b7ad",
+   "metadata": {},
+   "source": [
+    "# NGFF transforms in xarray wth CoordinateTransformIndex\n",
+    "\n",
+    "Overview: https://xarray-indexes.readthedocs.io/blocks/transform.html\n",
+    "Further links:\n",
+    "- https://docs.xarray.dev/en/latest/generated/xarray.indexes.CoordinateTransformIndex.html#xarray.indexes.CoordinateTransformIndex\n",
+    "- https://docs.xarray.dev/en/latest/generated/xarray.indexes.CoordinateTransform.html#xarray.indexes.CoordinateTransform\n",
+    "\n",
+    "More xarray functionality nicely shown here: https://xarray-indexes.readthedocs.io/index.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ad6275ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections.abc import Hashable\n",
+    "from typing import Any\n",
+    "\n",
+    "import networkx as nx\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "from ome_zarr_models._v06.coordinate_transforms import CoordinateSystem, CoordinateSystemIdentifier\n",
+    "\n",
+    "# from ngff_transformations.graph import get_relative_path, create_sequence_transformation_from_path\n",
+    "from ngff_transformations.graph import create_sequence_transformation_from_graph_walk, find_walks_in_graph, get_node"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "12e1342f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class NGFFXarrayCoordinateSystem(xr.indexes.CoordinateTransform):\n",
+    "    \"\"\"\n",
+    "    Adapter class that represents NGFF coordinate systems in xarray.\n",
+    "    \"\"\"\n",
+    "\n",
+    "    def __init__(\n",
+    "            self,\n",
+    "            source_name: str,\n",
+    "            target_name: str,\n",
+    "            shape: tuple[int, ...],\n",
+    "            graph: nx.DiGraph,\n",
+    "            source_path: str = None,\n",
+    "            target_path: str = None,\n",
+    "        ):\n",
+    "\n",
+    "        self.target_coord_system = graph.nodes[get_node(target_path, target_name)]['coordinate_system']\n",
+    "\n",
+    "        try:\n",
+    "\n",
+    "            walk = find_walks_in_graph(\n",
+    "                graph,\n",
+    "                src_name=source_name,\n",
+    "                src_path=source_path,\n",
+    "                tgt_name=target_name,\n",
+    "                tgt_path=target_path,\n",
+    "            )\n",
+    "# def find_walks_in_graph(graph, src_path, src_name, tgt_path, tgt_name) -> list[str | CoordinateSystemIdentifier]:\n",
+    "\n",
+    "            transform = create_sequence_transformation_from_graph_walk(\n",
+    "                graph=graph,\n",
+    "                walk=walk,\n",
+    "            )\n",
+    "\n",
+    "            self.transform = transform\n",
+    "        except:\n",
+    "            raise ValueError(f\"No transformation path found from {source_name} to {target_name}.\")\n",
+    "\n",
+    "        self.graph = graph\n",
+    "\n",
+    "        dim_names = [ax.name for ax in self.target_coord_system.axes]\n",
+    "        # dim_shapes = [shape[i] for i in range(len(dim_names))]\n",
+    "        dim_shapes = {dim: shape[i] for i, dim in enumerate(dim_names)}\n",
+    "\n",
+    "        super().__init__(\n",
+    "            dim_names, dim_shapes, dtype=np.dtype(float)\n",
+    "        )\n",
+    "\n",
+    "\n",
+    "    def forward(\n",
+    "        self, dim_positions: dict[str, Any]\n",
+    "    ) -> dict[Hashable, Any]:\n",
+    "        \"\"\"Perform array -> coordinate system transformation.\"\"\"\n",
+    "\n",
+    "        pixel = [dim_positions[dim] for dim in self.dims]\n",
+    "        world = self.transform.transform_point(pixel)\n",
+    "\n",
+    "        return {name: w for name, w in zip(self.coord_names, world)}\n",
+    "\n",
+    "    def reverse(\n",
+    "        self, coord_labels: dict[Hashable, Any]\n",
+    "    ) -> dict[str, Any]:\n",
+    "        \"\"\"Perform coordinate system -> array coordinate reverse transformation.\"\"\"\n",
+    "\n",
+    "        if self.inverse_transform is None:\n",
+    "            raise ValueError(\"Transformation is not invertible (or inverse is not yet implemented).\")\n",
+    "\n",
+    "        world = [coord_labels[name] for name in self.coord_names]\n",
+    "        pixel = self.inverse_transform.transform_point(world)\n",
+    "\n",
+    "        return {name: p for name, p in zip(self.dims, pixel)}\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1abf7b7e",
+   "metadata": {},
+   "source": [
+    "## Loading example data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e0aff55b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "OutEdgeView([('physical', 'world'), ('physical', 'level0'), ('physical', 'level1'), ('physical', 'level2'), ('level0', 'physical'), ('level1', 'physical'), ('level2', 'physical')])"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from ngff_transformations.graph import transform_graph_to_networkx\n",
+    "from ome_zarr_models._v06.image import Image\n",
+    "import zarr\n",
+    "import dask.array as da\n",
+    "\n",
+    "zarr_path = \"/Users/albertm/software/ngff-transformations/data/full-ome-zarr-examples/example1.zarr\"\n",
+    "# zarr_path = \"../data/ngff-rfc5-coordinate-transformation-examples/3d/simple/rotation.zarr\"\n",
+    "\n",
+    "source_name = 'level2'\n",
+    "target_name = 'world'\n",
+    "\n",
+    "group = Image.from_zarr(zarr.open_group(zarr_path, mode=\"r\"))\n",
+    "\n",
+    "# Create and validate graph\n",
+    "graph = group.transform_graph()\n",
+    "nx_graph = transform_graph_to_networkx(graph)\n",
+    "zarr_group = zarr.open_group(zarr_path, mode=\"r\")\n",
+    "array_data = da.from_zarr(zarr_group[source_name])\n",
+    "array_shape = array_data.shape\n",
+    "\n",
+    "nx_graph.edges"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f6186c2e",
+   "metadata": {},
+   "source": [
+    "## Instanciating a xarray.DataArray with CoordinateTransformIndex"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "0f436c36",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
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+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
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+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
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+       "    --jp-layout-color1,\n",
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+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name,\n",
+       ".xr-group-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name::before {\n",
+       "  content: \"📁\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name,\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 20px auto;\n",
+       "  width: 100%;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 20px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27; (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)&gt; Size: 4MB\n",
+       "dask.array&lt;from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "  * z        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 ... 29.5 29.5 29.5 29.5\n",
+       "  * c        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0\n",
+       "  * y        (z, c, y, x) float64 4MB 0.0 -0.1414 -0.2828 ... 0.1414 1.776e-15\n",
+       "  * x        (z, c, y, x) float64 4MB 0.0 0.1414 0.2828 ... 17.54 17.68 17.82\n",
+       "Indexes:\n",
+       "  ┌ z        CoordinateTransformIndex\n",
+       "  │ c\n",
+       "  │ y\n",
+       "  └ x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 60</li><li><span class='xr-has-index'>c</span>: 2</li><li><span class='xr-has-index'>y</span>: 64</li><li><span class='xr-has-index'>x</span>: 64</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-61432af6-cba1-4585-95d6-22834a7e201e' class='xr-array-in' type='checkbox' checked><label for='section-61432af6-cba1-4585-95d6-22834a7e201e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(60, 2, 64, 64), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"552\" height=\"188\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"112\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"27\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 112.5,0.0 112.5,27.675387197907465 0.0,27.675387197907465\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"56.250000\" y=\"47.675387\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >60</text>\n",
+       "  <text x=\"132.500000\" y=\"13.837694\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,132.500000,13.837694)\">1</text>\n",
+       "\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"200\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"182\" y1=\"120\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"182\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"182.0,0.0 200.60895834888393,18.608958348883927 200.60895834888393,138.60895834888393 182.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"302\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"320\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"200\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"302\" y1=\"0\" x2=\"320\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"182.0,0.0 302.0,0.0 320.6089583488839,18.608958348883927 200.60895834888393,18.608958348883927\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"320\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"200\" y1=\"138\" x2=\"320\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"320\" y1=\"18\" x2=\"320\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"200.60895834888393,18.608958348883927 320.6089583488839,18.608958348883927 320.6089583488839,138.60895834888393 200.60895834888393,138.60895834888393\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"260.608958\" y=\"158.608958\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >64</text>\n",
+       "  <text x=\"340.608958\" y=\"78.608958\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,340.608958,78.608958)\">64</text>\n",
+       "  <text x=\"181.304479\" y=\"149.304479\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,181.304479,149.304479)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-cd970c55-e844-4fdf-8fc0-bbc4ae51eb3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd970c55-e844-4fdf-8fc0-bbc4ae51eb3e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 29.5 29.5 29.5</div><input id='attrs-c09fb05d-8f13-4199-91a7-1934208e9fc3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c09fb05d-8f13-4199-91a7-1934208e9fc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-007153bf-f0f3-4f19-8c77-3f381582431b' class='xr-var-data-in' type='checkbox'><label for='data-007153bf-f0f3-4f19-8c77-3f381582431b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>c</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-352aabe4-7ea3-408d-9972-8cf6377e4e34' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-352aabe4-7ea3-408d-9972-8cf6377e4e34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bece042-129e-48ed-89b5-f32289491677' class='xr-var-data-in' type='checkbox'><label for='data-1bece042-129e-48ed-89b5-f32289491677' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 -0.1414 ... 0.1414 1.776e-15</div><input id='attrs-6e64e65a-1300-45be-9704-fc4ea5fabc30' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e64e65a-1300-45be-9704-fc4ea5fabc30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-950c4283-ec25-4aa9-82f6-bacb4456ee3b' class='xr-var-data-in' type='checkbox'><label for='data-950c4283-ec25-4aa9-82f6-bacb4456ee3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1414 0.2828 ... 17.68 17.82</div><input id='attrs-074e3f8a-668f-49b3-b575-2a5c08c9d6cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-074e3f8a-668f-49b3-b575-2a5c08c9d6cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d60ddf9-146f-4d57-9d58-1c9e4c70d805' class='xr-var-data-in' type='checkbox'><label for='data-5d60ddf9-146f-4d57-9d58-1c9e4c70d805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd48f8e0-8458-4b21-8af2-83de0f88b26a' class='xr-section-summary-in' type='checkbox'  ><label for='section-cd48f8e0-8458-4b21-8af2-83de0f88b26a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>z<br>c<br>y<br>x</div></div><div class='xr-index-preview'>CoordinateTransformIndex</div><input type='checkbox' disabled/><label></label><input id='index-31691f28-62d4-4ac3-af50-0a61ce152700' class='xr-index-data-in' type='checkbox'/><label for='index-31691f28-62d4-4ac3-af50-0a61ce152700' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>&lt;xarray.core.indexes.CoordinateTransformIndex object at 0x165405fa0&gt;</pre></div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'from-zarr-d38dd0331962369cc3be96b641479766' (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)> Size: 4MB\n",
+       "dask.array<from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "  * z        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 ... 29.5 29.5 29.5 29.5\n",
+       "  * c        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0\n",
+       "  * y        (z, c, y, x) float64 4MB 0.0 -0.1414 -0.2828 ... 0.1414 1.776e-15\n",
+       "  * x        (z, c, y, x) float64 4MB 0.0 0.1414 0.2828 ... 17.54 17.68 17.82\n",
+       "Indexes:\n",
+       "  ┌ z        CoordinateTransformIndex\n",
+       "  │ c\n",
+       "  │ y\n",
+       "  └ x"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ngff_xarray_coord_system_transform = NGFFXarrayCoordinateSystem(\n",
+    "    source_path=None,\n",
+    "    source_name=\"level0\",\n",
+    "    target_path=None,\n",
+    "    target_name=target_name,\n",
+    "    shape=array_shape,\n",
+    "    graph=nx_graph,\n",
+    ")\n",
+    "\n",
+    "ngff_xarray_coord_system_transform\n",
+    "\n",
+    "index = xr.indexes.CoordinateTransformIndex(ngff_xarray_coord_system_transform)\n",
+    "index.to_pandas_index = lambda: (_ for _ in ()).throw(TypeError(\"Cannot convert NGFF coordinate system transform to pandas Index.\"))\n",
+    "coords = xr.Coordinates.from_xindex(index)\n",
+    "\n",
+    "xim = xr.DataArray(\n",
+    "    array_data,\n",
+    "    coords=coords,\n",
+    ")\n",
+    "\n",
+    "# access the class above after instantiation:\n",
+    "xim._indexes['x'].transform.target_coord_system\n",
+    "\n",
+    "xim"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc9b171d",
+   "metadata": {},
+   "source": [
+    "## coordinates plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "fdcbf7fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e420908296cf4c5a9225beb4e638152e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "from matplotlib import pyplot as plt\n",
+    "%matplotlib ipympl\n",
+    "\n",
+    "# extract coordinates\n",
+    "\n",
+    "pts = np.array([\n",
+    "    ngff_xarray_coord_system_transform.generate_coords()[dim] for dim in xim.dims\n",
+    "]).reshape(4, -1)\n",
+    "pts = pts[[i for i, ax in enumerate(xim._indexes['x'].transform.target_coord_system.axes) if ax.type == 'space']]\n",
+    "pts = pts[:, ::100]\n",
+    "\n",
+    "# 3d matplotlib plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.add_subplot(111, projection='3d')\n",
+    "ax.scatter(pts[0], pts[1], pts[2])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f613ea3",
+   "metadata": {},
+   "source": [
+    "## dask array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f42032c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"552\" height=\"188\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"112\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"27\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"27\" style=\"stroke-width:2\" />\n",
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+       "  <!-- Text -->\n",
+       "  <text x=\"260.608958\" y=\"158.608958\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >64</text>\n",
+       "  <text x=\"340.608958\" y=\"78.608958\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,340.608958,78.608958)\">64</text>\n",
+       "  <text x=\"181.304479\" y=\"149.304479\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,181.304479,149.304479)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "dask.array<from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# dask array\n",
+    "\n",
+    "array_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "93a481d3",
+   "metadata": {},
+   "source": [
+    "## dask + xarray"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "20e3d723",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name,\n",
+       ".xr-group-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name::before {\n",
+       "  content: \"📁\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name,\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 20px auto;\n",
+       "  width: 100%;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 20px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27; (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)&gt; Size: 4MB\n",
+       "dask.array&lt;from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "  * z        (z) float64 480B 0.0 0.1 0.2 0.3 0.4 0.5 ... 5.5 5.6 5.7 5.8 5.9\n",
+       "  * c        (c) float64 16B 0.0 0.1\n",
+       "  * y        (y) float64 512B 0.0 0.1 0.2 0.3 0.4 0.5 ... 5.9 6.0 6.1 6.2 6.3\n",
+       "  * x        (x) float64 512B 0.0 0.1 0.2 0.3 0.4 0.5 ... 5.9 6.0 6.1 6.2 6.3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 60</li><li><span class='xr-has-index'>c</span>: 2</li><li><span class='xr-has-index'>y</span>: 64</li><li><span class='xr-has-index'>x</span>: 64</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dc9e4e48-8382-491d-84c8-995337f88716' class='xr-array-in' type='checkbox' checked><label for='section-dc9e4e48-8382-491d-84c8-995337f88716' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(60, 2, 64, 64), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"552\" height=\"188\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"112\" y2=\"0\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"27\" style=\"stroke-width:2\" />\n",
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+       "\n",
+       "  <!-- Colored Rectangle -->\n",
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+       "\n",
+       "  <!-- Text -->\n",
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+       "  <text x=\"181.304479\" y=\"149.304479\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,181.304479,149.304479)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-d7d568e7-ab01-472a-a696-85cbcce0091a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7d568e7-ab01-472a-a696-85cbcce0091a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1 0.2 0.3 ... 5.6 5.7 5.8 5.9</div><input id='attrs-230773b5-5ed1-4ac8-be2b-e09e9065ff91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-230773b5-5ed1-4ac8-be2b-e09e9065ff91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d34948b3-43ef-48fb-a70c-dc6be9ee8226' class='xr-var-data-in' type='checkbox'><label for='data-d34948b3-43ef-48fb-a70c-dc6be9ee8226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3,\n",
+       "       1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7,\n",
+       "       2.8, 2.9, 3. , 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4. , 4.1,\n",
+       "       4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5. , 5.1, 5.2, 5.3, 5.4, 5.5,\n",
+       "       5.6, 5.7, 5.8, 5.9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>c</span></div><div class='xr-var-dims'>(c)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1</div><input id='attrs-c0fdfe54-4085-426c-b464-107683685d2c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0fdfe54-4085-426c-b464-107683685d2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a03bb3b-1f5e-4793-8975-3a09bb7d5c76' class='xr-var-data-in' type='checkbox'><label for='data-6a03bb3b-1f5e-4793-8975-3a09bb7d5c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0. , 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1 0.2 0.3 ... 6.0 6.1 6.2 6.3</div><input id='attrs-0a1e4cf1-ad05-4ca3-a8ba-6f518e831443' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a1e4cf1-ad05-4ca3-a8ba-6f518e831443' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-597c8a33-81c3-4157-ab82-dab012cbb1a8' class='xr-var-data-in' type='checkbox'><label for='data-597c8a33-81c3-4157-ab82-dab012cbb1a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3,\n",
+       "       1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7,\n",
+       "       2.8, 2.9, 3. , 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4. , 4.1,\n",
+       "       4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5. , 5.1, 5.2, 5.3, 5.4, 5.5,\n",
+       "       5.6, 5.7, 5.8, 5.9, 6. , 6.1, 6.2, 6.3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1 0.2 0.3 ... 6.0 6.1 6.2 6.3</div><input id='attrs-2b6308f6-bf72-40ee-a035-65579dbb2a85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b6308f6-bf72-40ee-a035-65579dbb2a85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33436290-8e62-4d3b-9cd0-18463e7ecccf' class='xr-var-data-in' type='checkbox'><label for='data-33436290-8e62-4d3b-9cd0-18463e7ecccf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3,\n",
+       "       1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2. , 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7,\n",
+       "       2.8, 2.9, 3. , 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4. , 4.1,\n",
+       "       4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5. , 5.1, 5.2, 5.3, 5.4, 5.5,\n",
+       "       5.6, 5.7, 5.8, 5.9, 6. , 6.1, 6.2, 6.3])</pre></div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'from-zarr-d38dd0331962369cc3be96b641479766' (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)> Size: 4MB\n",
+       "dask.array<from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "  * z        (z) float64 480B 0.0 0.1 0.2 0.3 0.4 0.5 ... 5.5 5.6 5.7 5.8 5.9\n",
+       "  * c        (c) float64 16B 0.0 0.1\n",
+       "  * y        (y) float64 512B 0.0 0.1 0.2 0.3 0.4 0.5 ... 5.9 6.0 6.1 6.2 6.3\n",
+       "  * x        (x) float64 512B 0.0 0.1 0.2 0.3 0.4 0.5 ... 5.9 6.0 6.1 6.2 6.3"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xim = xr.DataArray(\n",
+    "    array_data,\n",
+    "    dims=['z', 'c', 'y', 'x'],\n",
+    "    coords={\n",
+    "        dim: np.arange(size) * 0.1 # just an example scaling\n",
+    "        for dim, size in zip(['z', 'c', 'y', 'x'], array_shape)}\n",
+    ")\n",
+    "xim"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f23545a",
+   "metadata": {},
+   "source": [
+    "## dask + xarray + NGFFXarrayCoordinateSystem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "49aa3ab1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name,\n",
+       ".xr-group-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name::before {\n",
+       "  content: \"📁\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name,\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 20px auto;\n",
+       "  width: 100%;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 20px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27; (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)&gt; Size: 4MB\n",
+       "dask.array&lt;from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "  * z        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 ... 118.0 118.0 118.0\n",
+       "  * c        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0\n",
+       "  * y        (z, c, y, x) float64 4MB 2.776e-17 -0.5657 ... 0.5657 7.105e-15\n",
+       "  * x        (z, c, y, x) float64 4MB 0.4243 0.9899 1.556 ... 70.57 71.13 71.7\n",
+       "Indexes:\n",
+       "  ┌ z        CoordinateTransformIndex\n",
+       "  │ c\n",
+       "  │ y\n",
+       "  └ x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 60</li><li><span class='xr-has-index'>c</span>: 2</li><li><span class='xr-has-index'>y</span>: 64</li><li><span class='xr-has-index'>x</span>: 64</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e18c22c4-c170-419a-9f32-86dd95435073' class='xr-array-in' type='checkbox' checked><label for='section-e18c22c4-c170-419a-9f32-86dd95435073' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(60, 2, 64, 64), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"552\" height=\"188\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"112\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"27\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 112.5,0.0 112.5,27.675387197907465 0.0,27.675387197907465\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"56.250000\" y=\"47.675387\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >60</text>\n",
+       "  <text x=\"132.500000\" y=\"13.837694\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,132.500000,13.837694)\">1</text>\n",
+       "\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"200\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"182\" y1=\"120\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"182\" y2=\"120\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"182.0,0.0 200.60895834888393,18.608958348883927 200.60895834888393,138.60895834888393 182.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"302\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"320\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"200\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"302\" y1=\"0\" x2=\"320\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"182.0,0.0 302.0,0.0 320.6089583488839,18.608958348883927 200.60895834888393,18.608958348883927\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"320\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"200\" y1=\"138\" x2=\"320\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"200\" y1=\"18\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"320\" y1=\"18\" x2=\"320\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"200.60895834888393,18.608958348883927 320.6089583488839,18.608958348883927 320.6089583488839,138.60895834888393 200.60895834888393,138.60895834888393\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"260.608958\" y=\"158.608958\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >64</text>\n",
+       "  <text x=\"340.608958\" y=\"78.608958\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,340.608958,78.608958)\">64</text>\n",
+       "  <text x=\"181.304479\" y=\"149.304479\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,181.304479,149.304479)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-3a986903-92b3-4b55-9deb-9354becce477' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a986903-92b3-4b55-9deb-9354becce477' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 118.0 118.0 118.0</div><input id='attrs-eec59b89-50ea-4a10-913e-2980d2242f77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eec59b89-50ea-4a10-913e-2980d2242f77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8696107b-973e-4ee8-8343-a172f1d44402' class='xr-var-data-in' type='checkbox'><label for='data-8696107b-973e-4ee8-8343-a172f1d44402' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>c</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-4e5b4f93-3bde-4dea-bbbd-afc9f7d76633' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e5b4f93-3bde-4dea-bbbd-afc9f7d76633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce0238d5-c578-438f-a33c-3f94e0be383f' class='xr-var-data-in' type='checkbox'><label for='data-ce0238d5-c578-438f-a33c-3f94e0be383f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.776e-17 -0.5657 ... 7.105e-15</div><input id='attrs-ac2bb873-058b-465e-a378-9ad88b5402d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac2bb873-058b-465e-a378-9ad88b5402d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53409eec-6010-4d50-9983-456fe5921b0d' class='xr-var-data-in' type='checkbox'><label for='data-53409eec-6010-4d50-9983-456fe5921b0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4243 0.9899 1.556 ... 71.13 71.7</div><input id='attrs-21430438-edb8-41e6-b9ca-62684eef4064' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21430438-edb8-41e6-b9ca-62684eef4064' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16b751ec-00e1-4cdb-a6cb-c8e9a3fede95' class='xr-var-data-in' type='checkbox'><label for='data-16b751ec-00e1-4cdb-a6cb-c8e9a3fede95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf3bcc87-4451-4985-829a-12cc1c5466c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-bf3bcc87-4451-4985-829a-12cc1c5466c1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>z<br>c<br>y<br>x</div></div><div class='xr-index-preview'>CoordinateTransformIndex</div><input type='checkbox' disabled/><label></label><input id='index-4a2984c8-47bc-4d3f-890b-dc91b2e769e1' class='xr-index-data-in' type='checkbox'/><label for='index-4a2984c8-47bc-4d3f-890b-dc91b2e769e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>&lt;xarray.core.indexes.CoordinateTransformIndex object at 0x16551ed20&gt;</pre></div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'from-zarr-d38dd0331962369cc3be96b641479766' (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)> Size: 4MB\n",
+       "dask.array<from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "  * z        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 ... 118.0 118.0 118.0\n",
+       "  * c        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0\n",
+       "  * y        (z, c, y, x) float64 4MB 2.776e-17 -0.5657 ... 0.5657 7.105e-15\n",
+       "  * x        (z, c, y, x) float64 4MB 0.4243 0.9899 1.556 ... 70.57 71.13 71.7\n",
+       "Indexes:\n",
+       "  ┌ z        CoordinateTransformIndex\n",
+       "  │ c\n",
+       "  │ y\n",
+       "  └ x"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ngff_xarray_coord_system_transform = NGFFXarrayCoordinateSystem(\n",
+    "    source_name=source_name,\n",
+    "    target_name=target_name,\n",
+    "    shape=array_shape,\n",
+    "    graph=nx_graph,\n",
+    ")\n",
+    "\n",
+    "index = xr.indexes.CoordinateTransformIndex(ngff_xarray_coord_system_transform)\n",
+    "coords = xr.Coordinates.from_xindex(index)\n",
+    "\n",
+    "xim_ngff = xr.DataArray(\n",
+    "    array_data,\n",
+    "    coords=coords,\n",
+    ")\n",
+    "\n",
+    "xim_ngff"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "874050b7",
+   "metadata": {},
+   "source": [
+    "## Transformation graph can be extracted from xarray DataArray\n",
+    "\n",
+    "... without using attributes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "1c84813d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CoordinateSystem(name='world', axes=(Axis(name='z', type='space', discrete=None, unit='um', longName=None), Axis(name='c', type='channel', discrete=True, unit=None, longName=None), Axis(name='y', type='space', discrete=None, unit='um', longName=None), Axis(name='x', type='space', discrete=None, unit='um', longName=None)))"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xim_ngff._indexes['x'].transform.graph.nodes\n",
+    "xim_ngff._indexes['x'].transform.target_coord_system"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4140a098",
+   "metadata": {},
+   "source": [
+    "## Downstream processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40cb389c",
+   "metadata": {},
+   "source": [
+    "### \"classical\" xarray.DataArray"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "200d29bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x165544e30>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b6ab42ddb236442c8ed1e047c34cd5e2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xim_plot = xim.isel(c=0, z=0)\n",
+    "\n",
+    "plt.figure()\n",
+    "xim_plot.plot.pcolormesh(\n",
+    "    x=\"x\",\n",
+    "    y=\"y\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87cdbb5b",
+   "metadata": {},
+   "source": [
+    "### \"functional\" coordinate arrays + xarray"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "b1cc25ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x16353d670>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c0609abc65a44925b3fc5925352bed98",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xim_plot = xim_ngff.isel(c=0, z=0)\n",
+    "\n",
+    "plt.figure()\n",
+    "xim_plot.plot.pcolormesh(\n",
+    "    x=\"x\",\n",
+    "    y=\"y\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ed636ff",
+   "metadata": {},
+   "source": [
+    "## xarray sel with CoordinateTransformIndex\n",
+    "\n",
+    "... unfortunately is not supported (yet?)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "27c90ddd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
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+       "    --jp-content-font-color2,\n",
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+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
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+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "  line-height: 1.6;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-obj-name,\n",
+       ".xr-group-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name::before {\n",
+       "  content: \"📁\";\n",
+       "  padding-right: 0.3em;\n",
+       "}\n",
+       "\n",
+       ".xr-group-name,\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "  margin-block-start: 0;\n",
+       "  margin-block-end: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-top: 4px;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box {\n",
+       "  display: inline-grid;\n",
+       "  grid-template-columns: 0px 20px auto;\n",
+       "  width: 100%;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-vline {\n",
+       "  grid-column-start: 1;\n",
+       "  border-right: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "  width: 0px;\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-hline {\n",
+       "  grid-column-start: 2;\n",
+       "  grid-row-start: 1;\n",
+       "  height: 1em;\n",
+       "  width: 20px;\n",
+       "  border-bottom: 0.2em solid;\n",
+       "  border-color: var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-group-box-contents {\n",
+       "  grid-column-start: 3;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27; (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)&gt; Size: 4MB\n",
+       "dask.array&lt;from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "  * z        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 ... 118.0 118.0 118.0\n",
+       "  * c        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0\n",
+       "  * y        (z, c, y, x) float64 4MB 2.776e-17 -0.5657 ... 0.5657 7.105e-15\n",
+       "  * x        (z, c, y, x) float64 4MB 0.4243 0.9899 1.556 ... 70.57 71.13 71.7\n",
+       "Indexes:\n",
+       "  ┌ z        CoordinateTransformIndex\n",
+       "  │ c\n",
+       "  │ y\n",
+       "  └ x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;from-zarr-d38dd0331962369cc3be96b641479766&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>z</span>: 60</li><li><span class='xr-has-index'>c</span>: 2</li><li><span class='xr-has-index'>y</span>: 64</li><li><span class='xr-has-index'>x</span>: 64</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-26339026-568c-4cbf-a262-8c9e8e872c55' class='xr-array-in' type='checkbox' checked><label for='section-26339026-568c-4cbf-a262-8c9e8e872c55' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(60, 2, 64, 64), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                        <td> 3.75 MiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                        <td> (60, 2, 64, 64) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"552\" height=\"188\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"112\" y2=\"0\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"0\" y1=\"27\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"27\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Colored Rectangle -->\n",
+       "  <polygon points=\"0.0,0.0 112.5,0.0 112.5,27.675387197907465 0.0,27.675387197907465\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
+       "\n",
+       "  <!-- Text -->\n",
+       "  <text x=\"56.250000\" y=\"47.675387\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >60</text>\n",
+       "  <text x=\"132.500000\" y=\"13.837694\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,132.500000,13.837694)\">1</text>\n",
+       "\n",
+       "\n",
+       "  <!-- Horizontal lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"200\" y2=\"18\" style=\"stroke-width:2\" />\n",
+       "  <line x1=\"182\" y1=\"120\" x2=\"200\" y2=\"138\" style=\"stroke-width:2\" />\n",
+       "\n",
+       "  <!-- Vertical lines -->\n",
+       "  <line x1=\"182\" y1=\"0\" x2=\"182\" y2=\"120\" style=\"stroke-width:2\" />\n",
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+       "  <text x=\"181.304479\" y=\"149.304479\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,181.304479,149.304479)\">2</text>\n",
+       "</svg>\n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-9a009a74-aa73-4e44-80ef-ed411368438e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a009a74-aa73-4e44-80ef-ed411368438e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 118.0 118.0 118.0</div><input id='attrs-e19bdca1-460b-4860-9b13-b3c81da84e13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e19bdca1-460b-4860-9b13-b3c81da84e13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-090f8464-c9f5-45c6-9d74-245b07e89891' class='xr-var-data-in' type='checkbox'><label for='data-090f8464-c9f5-45c6-9d74-245b07e89891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>c</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-e58bd64f-b5b6-4175-9d7c-510c248d0a05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e58bd64f-b5b6-4175-9d7c-510c248d0a05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa94f4e-673b-4df3-8282-65e47d1ca3e6' class='xr-var-data-in' type='checkbox'><label for='data-3fa94f4e-673b-4df3-8282-65e47d1ca3e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.776e-17 -0.5657 ... 7.105e-15</div><input id='attrs-9d39f773-360c-4009-941c-0af1ec206a8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d39f773-360c-4009-941c-0af1ec206a8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16bb2e88-daea-41e3-ad4b-09f05ece21e5' class='xr-var-data-in' type='checkbox'><label for='data-16bb2e88-daea-41e3-ad4b-09f05ece21e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(z, c, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4243 0.9899 1.556 ... 71.13 71.7</div><input id='attrs-b8993c1f-0e88-407a-9fed-e0d6c22ba812' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8993c1f-0e88-407a-9fed-e0d6c22ba812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b73e36d2-6c1d-4571-9e22-81475cb05e1b' class='xr-var-data-in' type='checkbox'><label for='data-b73e36d2-6c1d-4571-9e22-81475cb05e1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[491520 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3646cf36-24e5-4b30-b9c5-a61419826e58' class='xr-section-summary-in' type='checkbox'  ><label for='section-3646cf36-24e5-4b30-b9c5-a61419826e58' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>z<br>c<br>y<br>x</div></div><div class='xr-index-preview'>CoordinateTransformIndex</div><input type='checkbox' disabled/><label></label><input id='index-86f799fb-b17a-4cdc-ac24-138ddbc5f149' class='xr-index-data-in' type='checkbox'/><label for='index-86f799fb-b17a-4cdc-ac24-138ddbc5f149' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>&lt;xarray.core.indexes.CoordinateTransformIndex object at 0x1618cd190&gt;</pre></div></li></ul></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'from-zarr-d38dd0331962369cc3be96b641479766' (z: 60, c: 2,\n",
+       "                                                                y: 64, x: 64)> Size: 4MB\n",
+       "dask.array<from-zarr, shape=(60, 2, 64, 64), dtype=float64, chunksize=(60, 2, 64, 64), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "  * z        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 ... 118.0 118.0 118.0\n",
+       "  * c        (z, c, y, x) float64 4MB 0.0 0.0 0.0 0.0 0.0 ... 1.0 1.0 1.0 1.0\n",
+       "  * y        (z, c, y, x) float64 4MB 2.776e-17 -0.5657 ... 0.5657 7.105e-15\n",
+       "  * x        (z, c, y, x) float64 4MB 0.4243 0.9899 1.556 ... 70.57 71.13 71.7\n",
+       "Indexes:\n",
+       "  ┌ z        CoordinateTransformIndex\n",
+       "  │ c\n",
+       "  │ y\n",
+       "  └ x"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xim_ngff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "8d775756",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "CoordinateTransformIndex only supports advanced (point-wise) indexing with either xarray.DataArray or xarray.Variable objects.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mTypeError\u001b[39m                                 Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[22]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43mxim_ngff\u001b[49m\u001b[43m.\u001b[49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      2\u001b[39m \u001b[43m    \u001b[49m\u001b[43mx\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mslice\u001b[39;49m\u001b[43m(\u001b[49m\u001b[32;43m30\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m50\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      3\u001b[39m \u001b[43m    \u001b[49m\u001b[43my\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mslice\u001b[39;49m\u001b[43m(\u001b[49m\u001b[32;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m7\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      4\u001b[39m \u001b[43m    \u001b[49m\u001b[43mz\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mslice\u001b[39;49m\u001b[43m(\u001b[49m\u001b[32;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m10\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      5\u001b[39m \u001b[43m    \u001b[49m\u001b[43mc\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mslice\u001b[39;49m\u001b[43m(\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      6\u001b[39m \u001b[43m    \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m=\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mnearest\u001b[39;49m\u001b[33;43m'\u001b[39;49m\n\u001b[32m      7\u001b[39m \u001b[43m)\u001b[49m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/software/ngff-transformations/.venv/lib/python3.12/site-packages/xarray/core/dataarray.py:1716\u001b[39m, in \u001b[36mDataArray.sel\u001b[39m\u001b[34m(self, indexers, method, tolerance, drop, **indexers_kwargs)\u001b[39m\n\u001b[32m   1600\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34msel\u001b[39m(\n\u001b[32m   1601\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   1602\u001b[39m     indexers: Mapping[Any, Any] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1606\u001b[39m     **indexers_kwargs: Any,\n\u001b[32m   1607\u001b[39m ) -> Self:\n\u001b[32m   1608\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"Return a new DataArray whose data is given by selecting index\u001b[39;00m\n\u001b[32m   1609\u001b[39m \u001b[33;03m    labels along the specified dimension(s).\u001b[39;00m\n\u001b[32m   1610\u001b[39m \n\u001b[32m   (...)\u001b[39m\u001b[32m   1714\u001b[39m \u001b[33;03m    Dimensions without coordinates: points\u001b[39;00m\n\u001b[32m   1715\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m1716\u001b[39m     ds = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_to_temp_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1717\u001b[39m \u001b[43m        \u001b[49m\u001b[43mindexers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mindexers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1718\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdrop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdrop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1719\u001b[39m \u001b[43m        \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1720\u001b[39m \u001b[43m        \u001b[49m\u001b[43mtolerance\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtolerance\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1721\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mindexers_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1722\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1723\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._from_temp_dataset(ds)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/software/ngff-transformations/.venv/lib/python3.12/site-packages/xarray/core/dataset.py:2982\u001b[39m, in \u001b[36mDataset.sel\u001b[39m\u001b[34m(self, indexers, method, tolerance, drop, **indexers_kwargs)\u001b[39m\n\u001b[32m   2914\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Returns a new dataset with each array indexed by tick labels\u001b[39;00m\n\u001b[32m   2915\u001b[39m \u001b[33;03malong the specified dimension(s).\u001b[39;00m\n\u001b[32m   2916\u001b[39m \n\u001b[32m   (...)\u001b[39m\u001b[32m   2979\u001b[39m \n\u001b[32m   2980\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m   2981\u001b[39m indexers = either_dict_or_kwargs(indexers, indexers_kwargs, \u001b[33m\"\u001b[39m\u001b[33msel\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m2982\u001b[39m query_results = \u001b[43mmap_index_queries\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   2983\u001b[39m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mindexers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtolerance\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtolerance\u001b[49m\n\u001b[32m   2984\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   2986\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m drop:\n\u001b[32m   2987\u001b[39m     no_scalar_variables = {}\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/software/ngff-transformations/.venv/lib/python3.12/site-packages/xarray/core/indexing.py:201\u001b[39m, in \u001b[36mmap_index_queries\u001b[39m\u001b[34m(obj, indexers, method, tolerance, **indexers_kwargs)\u001b[39m\n\u001b[32m    199\u001b[39m         results.append(IndexSelResult(labels))\n\u001b[32m    200\u001b[39m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m201\u001b[39m         results.append(\u001b[43mindex\u001b[49m\u001b[43m.\u001b[49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43moptions\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[32m    203\u001b[39m merged = merge_sel_results(results)\n\u001b[32m    205\u001b[39m \u001b[38;5;66;03m# drop dimension coordinates found in dimension indexers\u001b[39;00m\n\u001b[32m    206\u001b[39m \u001b[38;5;66;03m# (also drop multi-index if any)\u001b[39;00m\n\u001b[32m    207\u001b[39m \u001b[38;5;66;03m# (.sel() already ensures alignment)\u001b[39;00m\n",
+      "\u001b[36mFile \u001b[39m\u001b[32m~/software/ngff-transformations/.venv/lib/python3.12/site-packages/xarray/core/indexes.py:1533\u001b[39m, in \u001b[36mCoordinateTransformIndex.sel\u001b[39m\u001b[34m(self, labels, method, tolerance)\u001b[39m\n\u001b[32m   1529\u001b[39m is_xr_obj = [\n\u001b[32m   1530\u001b[39m     \u001b[38;5;28misinstance\u001b[39m(label, DataArray | Variable) \u001b[38;5;28;01mfor\u001b[39;00m label \u001b[38;5;129;01min\u001b[39;00m labels.values()\n\u001b[32m   1531\u001b[39m ]\n\u001b[32m   1532\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mall\u001b[39m(is_xr_obj):\n\u001b[32m-> \u001b[39m\u001b[32m1533\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[32m   1534\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mCoordinateTransformIndex only supports advanced (point-wise) indexing \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m   1535\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mwith either xarray.DataArray or xarray.Variable objects.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m   1536\u001b[39m     )\n\u001b[32m   1537\u001b[39m dim_size = [\u001b[38;5;28mgetattr\u001b[39m(label, \u001b[33m\"\u001b[39m\u001b[33msizes\u001b[39m\u001b[33m\"\u001b[39m, {}) \u001b[38;5;28;01mfor\u001b[39;00m label \u001b[38;5;129;01min\u001b[39;00m labels.values()]\n\u001b[32m   1538\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(ds != dim_size0 \u001b[38;5;28;01mfor\u001b[39;00m ds \u001b[38;5;129;01min\u001b[39;00m dim_size):\n",
+      "\u001b[31mTypeError\u001b[39m: CoordinateTransformIndex only supports advanced (point-wise) indexing with either xarray.DataArray or xarray.Variable objects."
+     ]
+    }
+   ],
+   "source": [
+    "xim_ngff.sel(\n",
+    "    x=slice(30, 50),\n",
+    "    y=slice(5, 7),\n",
+    "    z=slice(5, 10),\n",
+    "    c=slice(0, 1),\n",
+    "    method='nearest'\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ngff-transformations",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/ngff_transformations/__init__.py b/src/ngff_transformations/__init__.py
index d36390e..4c6ff08 100644
--- a/src/ngff_transformations/__init__.py
+++ b/src/ngff_transformations/__init__.py
@@ -5,6 +5,5 @@
 from ngff_transformations.graph import (
     draw_graph,
     find_walks_in_graph,
-    get_relative_path,
     transform_graph_to_networkx,
 )
diff --git a/src/ngff_transformations/graph.py b/src/ngff_transformations/graph.py
index 13997d0..d226d6c 100644
--- a/src/ngff_transformations/graph.py
+++ b/src/ngff_transformations/graph.py
@@ -229,40 +229,6 @@ def draw_graph(
     plt.show()
 
 
-def get_relative_path(graph: nx.DiGraph, source_coordinate_system: str, target_coordinate_system: str) -> list[str]:
-    cost_key = "cost"
-    """
-    Get the relative path from one node to another in the transformation graph.
-
-    Currently, this function doesn't add functionality to nx.shortest_path.
-    However potentially this function could be extended in the future to e.g. add
-    different path finding algorithms or preprocess cost values on edges.
-
-    See: https://github.com/bogovicj/ngff/wiki/Transforms-notes,-examples,-proposals#multiple-transforms-between-spaces
-
-    Parameters
-    ----------
-    graph : nx.DiGraph
-        The transformation graph.
-    source_coordinate_system : str
-        The starting coordinate system node.
-    target_coordinate_system : str
-        The target coordinate system node.
-    Returns
-    -------
-    list
-        List of edges representing the path from source to target.
-    """
-
-    path = nx.shortest_path(
-        graph,
-        source=source_coordinate_system,
-        target=target_coordinate_system,
-        weight=cost_key,
-    )
-    return path
-
-
 def create_sequence_transformation_from_graph_walk(
     graph: nx.DiGraph,
     walk: list[str | CoordinateSystemIdentifier],
diff --git a/uv.lock b/uv.lock
index 73c2be1..7db4b7d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
 version = 1
+revision = 3
 requires-python = ">=3.11"
 resolution-markers = [
     "python_full_version >= '3.14'",
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     { name = "pygments" },
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+[[package]]
+name = "anyio"
+version = "4.11.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+    { name = "sniffio" },
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