changeset 0:7d6be2b7e1e2 draft

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/libcarna/ commit 20db59ffe2a97f25d82ba02e451bf73f93ef84ee

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/README.md	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,19 @@
+# libcarna
+
+## HTML output
+
+The tool produces HTML output that needs to be added to the allow list.
+
+## GPU support
+
+The following extra Docker parameters are required to run this tool with GPU support:
+```bash
+--gpus all -e NVIDIA_VISIBLE_DEVICES=all -e NVIDIA_DRIVER_CAPABILITIES=graphics,compute
+```
+Otherwise, the tool runs with software rendering, whuch is much slower.
+
+When using `planemo test`, the full command line is:
+```bash
+planemo test --docker --docker_run_extra_arguments \
+    "--gpus all -e NVIDIA_VISIBLE_DEVICES=all -e NVIDIA_DRIVER_CAPABILITIES=graphics,compute"
+```

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/colormaps.xml	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,320 @@
+<macros>
+
+    <xml name="option/builtin_cmap_list">
+        <option value="magma">magma</option>
+        <option value="inferno">inferno</option>
+        <option value="plasma">plasma</option>
+        <option value="viridis" selected="true">viridis</option>
+        <option value="cividis">cividis</option>
+        <option value="twilight">twilight</option>
+        <option value="twilight_shifted">twilight_shifted</option>
+        <option value="turbo">turbo</option>
+        <option value="berlin">berlin</option>
+        <option value="managua">managua</option>
+        <option value="vanimo">vanimo</option>
+        <option value="Blues">Blues</option>
+        <option value="BrBG">BrBG</option>
+        <option value="BuGn">BuGn</option>
+        <option value="BuPu">BuPu</option>
+        <option value="CMRmap">CMRmap</option>
+        <option value="GnBu">GnBu</option>
+        <option value="Greens">Greens</option>
+        <option value="Greys">Greys</option>
+        <option value="OrRd">OrRd</option>
+        <option value="Oranges">Oranges</option>
+        <option value="PRGn">PRGn</option>
+        <option value="PiYG">PiYG</option>
+        <option value="PuBu">PuBu</option>
+        <option value="PuBuGn">PuBuGn</option>
+        <option value="PuOr">PuOr</option>
+        <option value="PuRd">PuRd</option>
+        <option value="Purples">Purples</option>
+        <option value="RdBu">RdBu</option>
+        <option value="RdGy">RdGy</option>
+        <option value="RdPu">RdPu</option>
+        <option value="RdYlBu">RdYlBu</option>
+        <option value="RdYlGn">RdYlGn</option>
+        <option value="Reds">Reds</option>
+        <option value="Spectral">Spectral</option>
+        <option value="Wistia">Wistia</option>
+        <option value="YlGn">YlGn</option>
+        <option value="YlGnBu">YlGnBu</option>
+        <option value="YlOrBr">YlOrBr</option>
+        <option value="YlOrRd">YlOrRd</option>
+        <option value="afmhot">afmhot</option>
+        <option value="autumn">autumn</option>
+        <option value="binary">binary</option>
+        <option value="bone">bone</option>
+        <option value="brg">brg</option>
+        <option value="bwr">bwr</option>
+        <option value="cool">cool</option>
+        <option value="coolwarm">coolwarm</option>
+        <option value="copper">copper</option>
+        <option value="cubehelix">cubehelix</option>
+        <option value="flag">flag</option>
+        <option value="gist_earth">gist_earth</option>
+        <option value="gist_gray">gist_gray</option>
+        <option value="gist_heat">gist_heat</option>
+        <option value="gist_ncar">gist_ncar</option>
+        <option value="gist_rainbow">gist_rainbow</option>
+        <option value="gist_stern">gist_stern</option>
+        <option value="gist_yarg">gist_yarg</option>
+        <option value="gnuplot">gnuplot</option>
+        <option value="gnuplot2">gnuplot2</option>
+        <option value="gray">gray</option>
+        <option value="hot">hot</option>
+        <option value="hsv">hsv</option>
+        <option value="jet">jet</option>
+        <option value="nipy_spectral">nipy_spectral</option>
+        <option value="ocean">ocean</option>
+        <option value="pink">pink</option>
+        <option value="prism">prism</option>
+        <option value="rainbow">rainbow</option>
+        <option value="seismic">seismic</option>
+        <option value="spring">spring</option>
+        <option value="summer">summer</option>
+        <option value="terrain">terrain</option>
+        <option value="winter">winter</option>
+        <option value="grey">grey</option>
+        <option value="gist_grey">gist_grey</option>
+        <option value="gist_yerg">gist_yerg</option>
+        <option value="Grays">Grays</option>
+        <option value="magma_r">magma_r</option>
+        <option value="inferno_r">inferno_r</option>
+        <option value="plasma_r">plasma_r</option>
+        <option value="viridis_r">viridis_r</option>
+        <option value="cividis_r">cividis_r</option>
+        <option value="twilight_r">twilight_r</option>
+        <option value="twilight_shifted_r">twilight_shifted_r</option>
+        <option value="turbo_r">turbo_r</option>
+        <option value="berlin_r">berlin_r</option>
+        <option value="managua_r">managua_r</option>
+        <option value="vanimo_r">vanimo_r</option>
+        <option value="Blues_r">Blues_r</option>
+        <option value="BrBG_r">BrBG_r</option>
+        <option value="BuGn_r">BuGn_r</option>
+        <option value="BuPu_r">BuPu_r</option>
+        <option value="CMRmap_r">CMRmap_r</option>
+        <option value="GnBu_r">GnBu_r</option>
+        <option value="Greens_r">Greens_r</option>
+        <option value="Greys_r">Greys_r</option>
+        <option value="OrRd_r">OrRd_r</option>
+        <option value="Oranges_r">Oranges_r</option>
+        <option value="PRGn_r">PRGn_r</option>
+        <option value="PiYG_r">PiYG_r</option>
+        <option value="PuBu_r">PuBu_r</option>
+        <option value="PuBuGn_r">PuBuGn_r</option>
+        <option value="PuOr_r">PuOr_r</option>
+        <option value="PuRd_r">PuRd_r</option>
+        <option value="Purples_r">Purples_r</option>
+        <option value="RdBu_r">RdBu_r</option>
+        <option value="RdGy_r">RdGy_r</option>
+        <option value="RdPu_r">RdPu_r</option>
+        <option value="RdYlBu_r">RdYlBu_r</option>
+        <option value="RdYlGn_r">RdYlGn_r</option>
+        <option value="Reds_r">Reds_r</option>
+        <option value="Spectral_r">Spectral_r</option>
+        <option value="Wistia_r">Wistia_r</option>
+        <option value="YlGn_r">YlGn_r</option>
+        <option value="YlGnBu_r">YlGnBu_r</option>
+        <option value="YlOrBr_r">YlOrBr_r</option>
+        <option value="YlOrRd_r">YlOrRd_r</option>
+        <option value="afmhot_r">afmhot_r</option>
+        <option value="autumn_r">autumn_r</option>
+        <option value="binary_r">binary_r</option>
+        <option value="bone_r">bone_r</option>
+        <option value="brg_r">brg_r</option>
+        <option value="bwr_r">bwr_r</option>
+        <option value="cool_r">cool_r</option>
+        <option value="coolwarm_r">coolwarm_r</option>
+        <option value="copper_r">copper_r</option>
+        <option value="cubehelix_r">cubehelix_r</option>
+        <option value="flag_r">flag_r</option>
+        <option value="gist_earth_r">gist_earth_r</option>
+        <option value="gist_gray_r">gist_gray_r</option>
+        <option value="gist_heat_r">gist_heat_r</option>
+        <option value="gist_ncar_r">gist_ncar_r</option>
+        <option value="gist_rainbow_r">gist_rainbow_r</option>
+        <option value="gist_stern_r">gist_stern_r</option>
+        <option value="gist_yarg_r">gist_yarg_r</option>
+        <option value="gnuplot_r">gnuplot_r</option>
+        <option value="gnuplot2_r">gnuplot2_r</option>
+        <option value="gray_r">gray_r</option>
+        <option value="hot_r">hot_r</option>
+        <option value="hsv_r">hsv_r</option>
+        <option value="jet_r">jet_r</option>
+        <option value="nipy_spectral_r">nipy_spectral_r</option>
+        <option value="ocean_r">ocean_r</option>
+        <option value="pink_r">pink_r</option>
+        <option value="prism_r">prism_r</option>
+        <option value="rainbow_r">rainbow_r</option>
+        <option value="seismic_r">seismic_r</option>
+        <option value="spring_r">spring_r</option>
+        <option value="summer_r">summer_r</option>
+        <option value="terrain_r">terrain_r</option>
+        <option value="winter_r">winter_r</option>
+        <option value="grey_r">grey_r</option>
+        <option value="gist_grey_r">gist_grey_r</option>
+        <option value="gist_yerg_r">gist_yerg_r</option>
+        <option value="Grays_r">Grays_r</option>
+    </xml>
+    <xml name="when/builtin_cmap_list">
+        <expand macro="when/builtin_cmap" value="magma"/>
+        <expand macro="when/builtin_cmap" value="inferno"/>
+        <expand macro="when/builtin_cmap" value="plasma"/>
+        <expand macro="when/builtin_cmap" value="viridis"/>
+        <expand macro="when/builtin_cmap" value="cividis"/>
+        <expand macro="when/builtin_cmap" value="twilight"/>
+        <expand macro="when/builtin_cmap" value="twilight_shifted"/>
+        <expand macro="when/builtin_cmap" value="turbo"/>
+        <expand macro="when/builtin_cmap" value="berlin"/>
+        <expand macro="when/builtin_cmap" value="managua"/>
+        <expand macro="when/builtin_cmap" value="vanimo"/>
+        <expand macro="when/builtin_cmap" value="Blues"/>
+        <expand macro="when/builtin_cmap" value="BrBG"/>
+        <expand macro="when/builtin_cmap" value="BuGn"/>
+        <expand macro="when/builtin_cmap" value="BuPu"/>
+        <expand macro="when/builtin_cmap" value="CMRmap"/>
+        <expand macro="when/builtin_cmap" value="GnBu"/>
+        <expand macro="when/builtin_cmap" value="Greens"/>
+        <expand macro="when/builtin_cmap" value="Greys"/>
+        <expand macro="when/builtin_cmap" value="OrRd"/>
+        <expand macro="when/builtin_cmap" value="Oranges"/>
+        <expand macro="when/builtin_cmap" value="PRGn"/>
+        <expand macro="when/builtin_cmap" value="PiYG"/>
+        <expand macro="when/builtin_cmap" value="PuBu"/>
+        <expand macro="when/builtin_cmap" value="PuBuGn"/>
+        <expand macro="when/builtin_cmap" value="PuOr"/>
+        <expand macro="when/builtin_cmap" value="PuRd"/>
+        <expand macro="when/builtin_cmap" value="Purples"/>
+        <expand macro="when/builtin_cmap" value="RdBu"/>
+        <expand macro="when/builtin_cmap" value="RdGy"/>
+        <expand macro="when/builtin_cmap" value="RdPu"/>
+        <expand macro="when/builtin_cmap" value="RdYlBu"/>
+        <expand macro="when/builtin_cmap" value="RdYlGn"/>
+        <expand macro="when/builtin_cmap" value="Reds"/>
+        <expand macro="when/builtin_cmap" value="Spectral"/>
+        <expand macro="when/builtin_cmap" value="Wistia"/>
+        <expand macro="when/builtin_cmap" value="YlGn"/>
+        <expand macro="when/builtin_cmap" value="YlGnBu"/>
+        <expand macro="when/builtin_cmap" value="YlOrBr"/>
+        <expand macro="when/builtin_cmap" value="YlOrRd"/>
+        <expand macro="when/builtin_cmap" value="afmhot"/>
+        <expand macro="when/builtin_cmap" value="autumn"/>
+        <expand macro="when/builtin_cmap" value="binary"/>
+        <expand macro="when/builtin_cmap" value="bone"/>
+        <expand macro="when/builtin_cmap" value="brg"/>
+        <expand macro="when/builtin_cmap" value="bwr"/>
+        <expand macro="when/builtin_cmap" value="cool"/>
+        <expand macro="when/builtin_cmap" value="coolwarm"/>
+        <expand macro="when/builtin_cmap" value="copper"/>
+        <expand macro="when/builtin_cmap" value="cubehelix"/>
+        <expand macro="when/builtin_cmap" value="flag"/>
+        <expand macro="when/builtin_cmap" value="gist_earth"/>
+        <expand macro="when/builtin_cmap" value="gist_gray"/>
+        <expand macro="when/builtin_cmap" value="gist_heat"/>
+        <expand macro="when/builtin_cmap" value="gist_ncar"/>
+        <expand macro="when/builtin_cmap" value="gist_rainbow"/>
+        <expand macro="when/builtin_cmap" value="gist_stern"/>
+        <expand macro="when/builtin_cmap" value="gist_yarg"/>
+        <expand macro="when/builtin_cmap" value="gnuplot"/>
+        <expand macro="when/builtin_cmap" value="gnuplot2"/>
+        <expand macro="when/builtin_cmap" value="gray"/>
+        <expand macro="when/builtin_cmap" value="hot"/>
+        <expand macro="when/builtin_cmap" value="hsv"/>
+        <expand macro="when/builtin_cmap" value="jet"/>
+        <expand macro="when/builtin_cmap" value="nipy_spectral"/>
+        <expand macro="when/builtin_cmap" value="ocean"/>
+        <expand macro="when/builtin_cmap" value="pink"/>
+        <expand macro="when/builtin_cmap" value="prism"/>
+        <expand macro="when/builtin_cmap" value="rainbow"/>
+        <expand macro="when/builtin_cmap" value="seismic"/>
+        <expand macro="when/builtin_cmap" value="spring"/>
+        <expand macro="when/builtin_cmap" value="summer"/>
+        <expand macro="when/builtin_cmap" value="terrain"/>
+        <expand macro="when/builtin_cmap" value="winter"/>
+        <expand macro="when/builtin_cmap" value="grey"/>
+        <expand macro="when/builtin_cmap" value="gist_grey"/>
+        <expand macro="when/builtin_cmap" value="gist_yerg"/>
+        <expand macro="when/builtin_cmap" value="Grays"/>
+        <expand macro="when/builtin_cmap" value="magma_r"/>
+        <expand macro="when/builtin_cmap" value="inferno_r"/>
+        <expand macro="when/builtin_cmap" value="plasma_r"/>
+        <expand macro="when/builtin_cmap" value="viridis_r"/>
+        <expand macro="when/builtin_cmap" value="cividis_r"/>
+        <expand macro="when/builtin_cmap" value="twilight_r"/>
+        <expand macro="when/builtin_cmap" value="twilight_shifted_r"/>
+        <expand macro="when/builtin_cmap" value="turbo_r"/>
+        <expand macro="when/builtin_cmap" value="berlin_r"/>
+        <expand macro="when/builtin_cmap" value="managua_r"/>
+        <expand macro="when/builtin_cmap" value="vanimo_r"/>
+        <expand macro="when/builtin_cmap" value="Blues_r"/>
+        <expand macro="when/builtin_cmap" value="BrBG_r"/>
+        <expand macro="when/builtin_cmap" value="BuGn_r"/>
+        <expand macro="when/builtin_cmap" value="BuPu_r"/>
+        <expand macro="when/builtin_cmap" value="CMRmap_r"/>
+        <expand macro="when/builtin_cmap" value="GnBu_r"/>
+        <expand macro="when/builtin_cmap" value="Greens_r"/>
+        <expand macro="when/builtin_cmap" value="Greys_r"/>
+        <expand macro="when/builtin_cmap" value="OrRd_r"/>
+        <expand macro="when/builtin_cmap" value="Oranges_r"/>
+        <expand macro="when/builtin_cmap" value="PRGn_r"/>
+        <expand macro="when/builtin_cmap" value="PiYG_r"/>
+        <expand macro="when/builtin_cmap" value="PuBu_r"/>
+        <expand macro="when/builtin_cmap" value="PuBuGn_r"/>
+        <expand macro="when/builtin_cmap" value="PuOr_r"/>
+        <expand macro="when/builtin_cmap" value="PuRd_r"/>
+        <expand macro="when/builtin_cmap" value="Purples_r"/>
+        <expand macro="when/builtin_cmap" value="RdBu_r"/>
+        <expand macro="when/builtin_cmap" value="RdGy_r"/>
+        <expand macro="when/builtin_cmap" value="RdPu_r"/>
+        <expand macro="when/builtin_cmap" value="RdYlBu_r"/>
+        <expand macro="when/builtin_cmap" value="RdYlGn_r"/>
+        <expand macro="when/builtin_cmap" value="Reds_r"/>
+        <expand macro="when/builtin_cmap" value="Spectral_r"/>
+        <expand macro="when/builtin_cmap" value="Wistia_r"/>
+        <expand macro="when/builtin_cmap" value="YlGn_r"/>
+        <expand macro="when/builtin_cmap" value="YlGnBu_r"/>
+        <expand macro="when/builtin_cmap" value="YlOrBr_r"/>
+        <expand macro="when/builtin_cmap" value="YlOrRd_r"/>
+        <expand macro="when/builtin_cmap" value="afmhot_r"/>
+        <expand macro="when/builtin_cmap" value="autumn_r"/>
+        <expand macro="when/builtin_cmap" value="binary_r"/>
+        <expand macro="when/builtin_cmap" value="bone_r"/>
+        <expand macro="when/builtin_cmap" value="brg_r"/>
+        <expand macro="when/builtin_cmap" value="bwr_r"/>
+        <expand macro="when/builtin_cmap" value="cool_r"/>
+        <expand macro="when/builtin_cmap" value="coolwarm_r"/>
+        <expand macro="when/builtin_cmap" value="copper_r"/>
+        <expand macro="when/builtin_cmap" value="cubehelix_r"/>
+        <expand macro="when/builtin_cmap" value="flag_r"/>
+        <expand macro="when/builtin_cmap" value="gist_earth_r"/>
+        <expand macro="when/builtin_cmap" value="gist_gray_r"/>
+        <expand macro="when/builtin_cmap" value="gist_heat_r"/>
+        <expand macro="when/builtin_cmap" value="gist_ncar_r"/>
+        <expand macro="when/builtin_cmap" value="gist_rainbow_r"/>
+        <expand macro="when/builtin_cmap" value="gist_stern_r"/>
+        <expand macro="when/builtin_cmap" value="gist_yarg_r"/>
+        <expand macro="when/builtin_cmap" value="gnuplot_r"/>
+        <expand macro="when/builtin_cmap" value="gnuplot2_r"/>
+        <expand macro="when/builtin_cmap" value="gray_r"/>
+        <expand macro="when/builtin_cmap" value="hot_r"/>
+        <expand macro="when/builtin_cmap" value="hsv_r"/>
+        <expand macro="when/builtin_cmap" value="jet_r"/>
+        <expand macro="when/builtin_cmap" value="nipy_spectral_r"/>
+        <expand macro="when/builtin_cmap" value="ocean_r"/>
+        <expand macro="when/builtin_cmap" value="pink_r"/>
+        <expand macro="when/builtin_cmap" value="prism_r"/>
+        <expand macro="when/builtin_cmap" value="rainbow_r"/>
+        <expand macro="when/builtin_cmap" value="seismic_r"/>
+        <expand macro="when/builtin_cmap" value="spring_r"/>
+        <expand macro="when/builtin_cmap" value="summer_r"/>
+        <expand macro="when/builtin_cmap" value="terrain_r"/>
+        <expand macro="when/builtin_cmap" value="winter_r"/>
+        <expand macro="when/builtin_cmap" value="grey_r"/>
+        <expand macro="when/builtin_cmap" value="gist_grey_r"/>
+        <expand macro="when/builtin_cmap" value="gist_yerg_r"/>
+        <expand macro="when/builtin_cmap" value="Grays_r"/>
+    </xml>
+
+</macros>

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/creators.xml	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,43 @@
+<macros>
+
+    <xml name="creators/bmcv">
+        <organization name="Biomedical Computer Vision Group, Heidelberg Universtiy" alternateName="BMCV" url="http://www.bioquant.uni-heidelberg.de/research/groups/biomedical_computer_vision.html" />
+        <yield />
+    </xml>
+
+    <xml name="creators/kostrykin">
+        <person givenName="Leonid" familyName="Kostrykin"/>
+        <yield/>
+    </xml>
+
+    <xml name="creators/rmassei">
+        <person givenName="Riccardo" familyName="Massei"/>
+        <yield/>
+    </xml>
+
+    <xml name="creators/alliecreason">
+        <person givenName="Allison" familyName="Creason"/>
+        <yield/>
+    </xml>
+
+    <xml name="creators/bugraoezdemir">
+        <person givenName="Bugra" familyName="Oezdemir"/>
+        <yield/>
+    </xml>
+
+    <xml name="creators/thawn">
+        <person givenName="Till" familyName="Korten"/>
+        <yield/>
+    </xml>
+
+    <xml name="creators/pavanvidem">
+        <person givenName="Pavan" familyName="Videm"/>
+        <yield/>
+    </xml>
+
+    <xml name="creators/tuncK">
+        <person givenName="Tunc" familyName="Kayikcioglu"/>
+        <yield/>
+    </xml>
+
+</macros>

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/render.py	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,143 @@
+import giatools
+import libcarna
+import libcarna._imshow
+import pandas as pd
+
+# Fail early if an optional backend is not available
+giatools.require_backend('omezarr')
+
+# Patch `libcarna._imshow` to return plain HTML
+libcarna._imshow.IPythonHTML = lambda html: html
+
+
+GEOMETRY_TYPE_INTENSITIES = 0
+GEOMETRY_TYPE_MASK = 1
+
+
+def wrap_color(params: dict) -> dict:
+    """
+    Return the `params` dictionary but wrap values for `color` with `libcarna.color`.
+    """
+    result = dict()
+    for key, value in params.items():
+        if key == 'color':
+            value = libcarna.color(value)
+        result[key] = value
+    return result
+
+
+if __name__ == "__main__":
+    tool = giatools.ToolBaseplate()
+    tool.add_input_image('intensities')
+    tool.add_input_image('mask', required=False)
+    tool.parser.add_argument('--colormap', type=str)
+    tool.parser.add_argument('--html', type=str)
+    tool.parse_args()
+
+    # Load custom colormap
+    if tool.args.raw_args.colormap:
+        df_colormap = pd.read_csv(tool.args.raw_args.colormap, delimiter='\t')
+
+    # Validate the input image(s)
+    try:
+        for image in tool.args.input_images.values():
+            if any(image.shape[image.axes.index(axis)] > 1 for axis in image.axes if axis not in 'ZYX'):
+                raise ValueError(f'This tool is not applicable to images with {image.original_axes} axes.')
+
+        # Create and configure frame renderer
+        print('Sample rate:', tool.args.params['sample_rate'])
+        mode = getattr(libcarna, tool.args.params['mode'])(
+            GEOMETRY_TYPE_INTENSITIES,
+            sr=tool.args.params['sample_rate'],
+            **tool.args.params['mode_kwargs']
+        )
+        mask_renderer = libcarna.mask_renderer(
+            GEOMETRY_TYPE_MASK,
+            sr=tool.args.params['sample_rate'],
+            **wrap_color(tool.args.params['mask_renderer_kwargs']),
+        )
+        r = libcarna.renderer(
+            tool.args.params['width'],
+            tool.args.params['height'],
+            [mode, mask_renderer],
+        )
+        print('EGL Vendor:', r.gl_context.vendor)
+
+        # Build the scene graph
+        root = libcarna.node()
+        intensities = tool.args.input_images['intensities']
+        intensities_volume = libcarna.volume(
+            GEOMETRY_TYPE_INTENSITIES,
+            intensities.normalize_axes_like(tool.args.params['axes']).data,
+            parent=root,
+            spacing=[
+                {
+                    'X': intensities.metadata.pixel_size[0] or 1,
+                    'Y': intensities.metadata.pixel_size[1] or 1,
+                    'Z': intensities.metadata.z_spacing or 1,
+                }
+                [axis] for axis in tool.args.params['axes']
+            ],
+            normals=(tool.args.params['mode'] == 'dvr'),
+        )
+        camera = libcarna.camera(
+            parent=root,
+        ).frustum(
+            **tool.args.params['camera']['kwargs'],
+        ).translate(
+            z=tool.args.params['camera']['distance'],
+        )
+        if (mask := tool.args.input_images.get('mask')):
+            libcarna.volume(
+                GEOMETRY_TYPE_MASK,
+                mask.normalize_axes_like(tool.args.params['axes']).data,
+                parent=intensities_volume,
+                spacing=intensities_volume.spacing,
+            )
+
+        # Apply colormap
+        if tool.args.params['colormap'] == 'custom':
+            mode.cmap.clear()
+            i0, color0 = None, None
+            for row in df_colormap.to_dict(orient='records'):
+                match row['type']:
+                    case 'relative':
+                        i1 = row['intensity']
+                    case 'absolute':
+                        i1 = intensities_volume.normalized(row['intensity'])
+                    case _:
+                        raise ValueError('Unknown intensity type: "{}"'.format(row['type']))
+                color1 = libcarna.color(row['color'])
+                if i0 is not None:
+                    mode.cmap.linear_segment(i0, i1, color0, color1)
+                i0, color0 = i1, color1
+        else:
+            cmap_kwargs = dict()
+            if (ramp_params := tool.args.params['ramp']):
+                ramp_values = list()
+                for val_type, value in (
+                    (ramp_params['start_type'], ramp_params['start_value']),
+                    (ramp_params['end_type'], ramp_params['end_value']),
+                ):
+                    ramp_values.append(
+                        value if val_type == 'relative' else intensities_volume.normalized(value),
+                    )
+                cmap_kwargs['ramp'] = tuple(ramp_values)
+            mode.cmap(tool.args.params['colormap'], **cmap_kwargs)
+
+        # Render
+        html = libcarna.imshow(
+            libcarna.animate(
+                libcarna.animate.rotate_local(camera),
+                n_frames=tool.args.params['video']['frames'],
+            ).render(r, camera),
+            mode.cmap.bar(intensities_volume),
+            fps=tool.args.params['video']['fps'],
+        )
+
+        # Write the result
+        with open(tool.args.raw_args.html, 'w') as fhtml:
+            fhtml.write(html)
+
+    except ValueError as err:
+        exit(err.args[0])

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/render.xml	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,339 @@
+<tool id="libcarna_render" name="Render 3-D image data" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="20.05">
+    <description>with LibCarna</description>
+    <macros>
+        <import>creators.xml</import>
+        <import>validators.xml</import>
+        <import>colormaps.xml</import>
+        <token name="@TOOL_VERSION@">0.2.0</token>
+        <token name="@VERSION_SUFFIX@">0</token>
+        <xml name="params/intensity" tokens="name,label">
+            <section name="@NAME@" title="@LABEL@" expanded="true">
+                <param name="type" type="select" label="@LABEL@"
+                       help="For relative intensity values, 0 is the minimum intensity of the image, and 1 is the maximum intensity.">
+                    <option value="absolute" selected="true">Absolute intensity value</option>
+                    <option value="relative">Relative intensity value</option>
+                </param>
+                <param name="value" type="float" label="Intensity value"/>
+            </section>
+        </xml>
+        <xml name="params/builtin_cmap">
+            <conditional name="ramp">
+                <param name="enabled" type="select" label="Ramp function"
+                       help="Use a piecewise linear ramp function for the alpha channel of the colormap.">
+                    <option value="false" selected="true">Disabled</option>
+                    <option value="true">Enabled</option>
+                </param>
+                <when value="true">
+                    <expand macro="params/intensity" name="start" label="Ramp start"/>
+                    <expand macro="params/intensity" name="end" label="Ramp end"/>
+                </when>
+                <when value="false"/>
+            </conditional>
+        </xml>
+        <xml name="when/builtin_cmap" tokens="value">
+            <when value="@VALUE@">
+                <expand macro="params/builtin_cmap"/>
+            </when>
+        </xml>
+        <xml name="test/params">
+            <!-- CI tests use software rendering which requires very low sample rates -->
+            <param name="sample_rate_override" value="5"/>
+            <param name="width" value="200"/>
+            <param name="height" value="110"/>
+        </xml>
+        <xml name="test/assert_stdout">
+            <assert_stdout>
+                <has_line_matching expression="^EGL Vendor: .+"/>
+                <yield/>
+            </assert_stdout>
+        </xml>
+    </macros>
+    <creator>
+        <expand macro="creators/bmcv"/>
+        <expand macro="creators/kostrykin"/>
+    </creator>
+    <edam_operations>
+        <edam_operation>operation_3443</edam_operation>
+    </edam_operations>
+    <xrefs>
+        <xref type="bio.tools">galaxy_image_analysis</xref>
+        <xref type="bio.tools">giatools</xref>
+    </xrefs>
+    <requirements>
+    <!--
+        We employ here a custom Docker image until https://github.com/bioconda/bioconda-containers/issues/87 gets a better solution.
+
+        The Docker image is an extension of the BioContainer for the following packages:
+
+            <requirement type="package" version="@TOOL_VERSION@">libcarna-python</requirement>
+            <requirement type="package" version="1.26.4">numpy</requirement>
+            <requirement type="package" version="4.3.2">ffmpeg</requirement>
+            <requirement type="package" version="0.7.3">giatools</requirement>
+            <requirement type="package" version="0.12.2">ome-zarr</requirement>
+            <requirement type="package" version="2.3.3">pandas</requirement>
+
+        See https://github.com/kostrykin/LibCarna-Python-Docker for details of the image.
+        -->
+        <container type="docker">docker.io/kostrykin/libcarna-python:@TOOL_VERSION@-0</container>
+    </requirements>
+    <required_files>
+        <include type="literal" path="clip_image.py"/>
+        <exclude type="literal" path="README.md"/>
+    </required_files>
+    <command detect_errors="aggressive"><![CDATA[
+
+        python '$__tool_directory__/render.py'
+
+        #if $intensities.extension == "zarr"
+            --intensities '$intensities.extra_files_path/$intensities.metadata.store_root'
+        #else
+            --intensities '$intensities'
+        #end if
+        
+        #if str($colormap.name) == "custom"
+            --colormap '$colormap.custom'
+        #end if
+
+        #if str($mask.enabled) == "true":
+            #if $mask.image.extension == "zarr"
+                --mask '$mask.image.extra_files_path/$mask.image.metadata.store_root'
+            #else
+                --mask '$mask.image'
+            #end if
+        #end if
+
+        --html '$html'
+        --params '$params'
+        --verbose
+
+    ]]></command>
+    <configfiles>
+        <configfile name="params"><![CDATA[
+            {
+
+                #if str($sample_rate_override) != ""
+                    #set $sample_rate = int($sample_rate_override)
+                #end if
+
+                "sample_rate": $sample_rate,
+                "axes": "$axes",
+                "width": $width,
+                "height": $height,
+                "mode": "$mode.name",
+
+                "mode_kwargs": {
+                    #if str($mode.name) == "dvr"
+                        "translucency": $mode.translucency,
+                        "diffuse": $mode.diffuse
+                    #end if
+                },
+
+                "colormap": "$colormap.name",
+
+                #if str($colormap.name) != "custom"
+                    "ramp": {
+                        #if str($colormap.ramp.enabled) == "true"
+                            "start_type": "$colormap.ramp.start.type",
+                            "start_value": $colormap.ramp.start.value,
+                            "end_type": "$colormap.ramp.end.type",
+                            "end_value": $colormap.ramp.end.value
+                        #end if
+                    },
+                #end if
+
+                "camera": {
+                    "distance": $camera.distance,
+                    "kwargs": {
+                        "fov": $camera.fov,
+                        "z_near": $camera.z_near,
+                        "z_far": $camera.z_far
+                    }
+                },
+                "video": {
+                    "frames": $video.frames,
+                    "fps": $video.fps
+                },
+
+                "mask": $mask.enabled,
+                "mask_renderer_kwargs": {
+                    #if str($mask.enabled) == "true"
+                        "color": "$mask.color"
+                    #end if
+                }
+
+            }
+        ]]></configfile>
+    </configfiles>
+    <inputs>
+        <param name="intensities" type="data" format="tiff,zarr" label="Input image (3-D)">
+            <expand macro="validators/is_single_channel"/>
+            <expand macro="validators/is_single_frame"/>
+            <expand macro="validators/is_3d"/>
+        </param>
+        <param name="axes" type="select" label="Coordinate system">
+            <option value="XZY" selected="true">Point Z to the top</option>
+            <option value="XYZ">Point Y to the top</option>
+        </param>
+        <param name="sample_rate" type="integer" min="100" value="800" label="Sample rate"
+               help="Samples per pixel for volume rendering (ray marching)."/>
+        <param name="sample_rate_override" type="hidden" value="0"/><!-- For testing purposes -->
+        <param name="width" type="integer" min="50" max="1024" value="800" label="Width of the video (in pixels)"/>
+        <param name="height" type="integer" min="50" max="1024" value="450" label="Height of the video (in pixels)"/>
+        <conditional name="mode">
+            <param name="name" type="select" label="Rendering mode">
+                <option value="mip" selected="true">Maximum Intensity Projection (MIP)</option>
+                <option value="dvr">Direct Volume Rendering (DVR)</option>
+            </param>
+            <when value="mip"/>
+            <when value="dvr">
+                <param name="translucency" type="float" min="0" value="1" label="Translucency"/>
+                <param name="diffuse" type="float" min="0" max="1" value="0.8" label="Directional light"
+                       help="Balances the amount of ambient vs directional light. The light is fully ambient for 0 and fully directional for 1."/>
+            </when>
+        </conditional>
+        <conditional name="colormap">
+            <param name="name" type="select" label="Color map">
+                <option value="custom">Custom</option>
+                <expand macro="option/builtin_cmap_list"/>
+            </param>
+            <when value="custom">
+                <param name="custom" type="data" format="tabular" label="Custom colormap">
+                    <validator type="dataset_metadata_in_range" metadata_name="columns" min="3" message="Colormap needs to have at least 3 columns."/>
+                </param>
+            </when>
+            <expand macro="when/builtin_cmap_list"/>
+        </conditional>
+        <section name="camera" title="Camera parameters" expanded="true">
+            <param name="fov" type="float" min="10" max="170" value="90" label="Field of view (in degrees)"/>
+            <param name="distance" type="float" min="1" value="200" label="Distance"
+                   help="Distance between the camera and the center of the 3-D image."/>
+            <param name="z_near" type="float" min="0.01" value="10" label="Near clipping plane"
+                   help="Position of the near clipping plane along the z-axis."/>
+            <param name="z_far" type="float" min="100" value="1000" label="Far clipping plane"
+                   help="Position of the far clipping plane along the z-axis."/>
+        </section>
+        <conditional name="mask">
+            <param name="enabled" type="select" label="Render mask overlay">
+                <option value="false" selected="true">No overlay</option>
+                <option value="true">Render mask overlay</option>
+            </param>
+            <when value="false"/>
+            <when value="true">
+                <param name="image" type="data" format="tiff,zarr" label="Mask overlay (3-D)">
+                    <expand macro="validators/is_single_channel"/>
+                    <expand macro="validators/is_single_frame"/>
+                    <expand macro="validators/is_3d"/>
+                </param>
+                <param name="color" type="color" value="#00ff00" label="Color of the overlay"/>
+            </when>
+        </conditional>
+        <section name="video" title="Video parameters" expanded="false">
+            <param name="frames" type="integer" min="10" value="200" label="Frames"/>
+            <param name="fps" type="integer" min="1" max="60" value="25" label="Frames per second"/>
+        </section>
+    </inputs>
+    <outputs>
+        <data format="html" name="html"/>
+    </outputs>
+    <tests>
+        <!-- Test with MIP -->
+        <test>
+            <param name="intensities" value="input/float32_10z_32y_40x.tiff"/>
+            <section name="camera">
+                <param name="distance" value="50"/>
+            </section>
+            <output name="html" ftype="html" value="output/float32_10z_32y_40x-mip.html" compare="sim_size" delta="1000"/>
+            <expand macro="test/params"/>
+            <expand macro="test/assert_stdout"/>
+        </test>
+        <!-- Test with DVR, ramp colormap, and mask -->
+        <test>
+            <param name="intensities" value="input/float32_10z_32y_40x.tiff"/>
+            <conditional name="mode">
+                <param name="name" value="dvr"/>
+                <param name="translucency" value="0"/>
+            </conditional>
+            <conditional name="colormap">
+                <param name="name" value="BrBG"/>
+                <conditional name="ramp">
+                    <param name="enabled" value="true"/>
+                    <section name="start">
+                        <param name="type" value="relative"/>
+                        <param name="value" value="0.33"/>
+                    </section>
+                    <section name="end">
+                        <param name="type" value="relative"/>
+                        <param name="value" value="0.37"/>
+                    </section>
+                </conditional>
+            </conditional>
+            <section name="camera">
+                <param name="distance" value="50"/>
+            </section>
+            <conditional name="mask">
+                <param name="enabled" value="true"/>
+                <param name="image" value="input/uint8_10z_32y_40x.tiff"/>
+            </conditional>
+            <output name="html" ftype="html" value="output/float32_10z_32y_40x-dvr-mask.html" compare="sim_size" delta="1000"/>
+            <expand macro="test/params"/>
+            <expand macro="test/assert_stdout"/>
+        </test>
+        <!-- Test with custom colormap -->
+        <test>
+            <param name="intensities" value="input/float32_10z_32y_40x.tiff"/>
+            <param name="axes" value="XYZ"/>
+            <conditional name="colormap">
+                <param name="name" value="custom"/>
+                <param name="custom" value="input/colormap.tsv"/>
+            </conditional>
+            <section name="camera">
+                <param name="distance" value="50"/>
+            </section>
+            <output name="html" ftype="html" value="output/float32_10z_32y_40x-colormap.html" compare="sim_size" delta="1000"/>
+            <expand macro="test/params"/>
+            <expand macro="test/assert_stdout"/>
+        </test>
+        <!-- Test with Zarr and missing `z_spacing` metadata -->
+        <test>
+            <param name="intensities" value="input/float32_5z_16y_20x-no_z_spacing.zarr"/>
+            <section name="camera">
+                <param name="distance" value="50"/>
+            </section>
+            <output name="html" ftype="html" value="output/float32_5z_16y_20x.html" compare="sim_size" delta="1000"/>
+            <expand macro="test/params"/>
+            <expand macro="test/assert_stdout"/>
+        </test>
+    </tests>
+    <help>
+
+**Renders videos for visualization of 3-D image data.**
+
+The image data is rotated to facilitate grasping visual information from different angles.
+
+LibCarna employs a volume rendering technique called *ray marching* and permits different visualization modes, including *maximum intensity projections* (MIP) and *direct volume rendering* (DVR). In addition, the renderings can be augmented with binary or label masks (e.g., segmentation overlays).
+
+.. image:: dvr.gif
+  :width: 438px
+  :scale: 100%
+
+An overview of the available colormaps is available at `matplotlib.org`_.
+
+.. _matplotlib.org: https://matplotlib.org/stable/users/explain/colors/colormaps.html
+
+When using custom colormaps, a tabular file with at least 3 columns must be used (`intensity`, `type`, `color`). Each pair of consecutive rows defines a linear segment of the colormap. The `intensity` values can be given either as absolute intensity values, or as relative values where 0 and 1 correspond to the minimum and maximum intensities of the image data, respectively. The `type` column indicates whether the corresponding `intensity` value is `absolute` or `relative`. The `color` must be given in hexadecimal notation with a ``#`` prefix and must be either 6 or 8 digits long (6 for RGB and 8 for RGBA). An example is given below.
+
++-----------+------------+----------+
+| color     | intensity  | type     |
++-----------+------------+----------+
+| #ff00007f | 0          | absolute |
++-----------+------------+----------+
+| #ffff00ff | 0.5        | absolute |
++-----------+------------+----------+
+| #00ffffff | 1.0        | relative |
++-----------+------------+----------+
+
+    </help>
+    <citations>
+        <citation type="doi">10.1016/j.jbiotec.2017.07.019</citation>
+    </citations>
+</tool>

Binary file static/images/dvr.gif has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input/colormap.tsv	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,4 @@
+color	intensity	type
+#ff00007f	0	absolute
+#ffff00ff	0.5	absolute
+#00ffffff	1.0	relative

Binary file test-data/input/float32_10z_32y_40x.tiff has changed

Binary file test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/0/c/0/0/0 has changed

Binary file test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/0/c/1/0/0 has changed

Binary file test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/0/c/2/0/0 has changed

Binary file test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/0/c/3/0/0 has changed

Binary file test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/0/c/4/0/0 has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/0/zarr.json	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,49 @@
+{
+  "shape": [
+    5,
+    16,
+    20
+  ],
+  "data_type": "float32",
+  "chunk_grid": {
+    "name": "regular",
+    "configuration": {
+      "chunk_shape": [
+        1,
+        16,
+        20
+      ]
+    }
+  },
+  "chunk_key_encoding": {
+    "name": "default",
+    "configuration": {
+      "separator": "/"
+    }
+  },
+  "fill_value": 0.0,
+  "codecs": [
+    {
+      "name": "bytes",
+      "configuration": {
+        "endian": "little"
+      }
+    },
+    {
+      "name": "zstd",
+      "configuration": {
+        "level": 0,
+        "checksum": false
+      }
+    }
+  ],
+  "attributes": {},
+  "dimension_names": [
+    "Z",
+    "Y",
+    "X"
+  ],
+  "zarr_format": 3,
+  "node_type": "array",
+  "storage_transformers": []
+}
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/input/float32_5z_16y_20x-no_z_spacing.zarr/zarr.json	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,46 @@
+{
+  "attributes": {
+    "ome": {
+      "version": "0.5",
+      "multiscales": [
+        {
+          "datasets": [
+            {
+              "path": "0",
+              "coordinateTransformations": [
+                {
+                  "type": "scale",
+                  "scale": [
+                    1.0,
+                    1.0,
+                    1.0
+                  ]
+                }
+              ]
+            }
+          ],
+          "name": "/",
+          "axes": [
+            {
+              "name": "Z",
+              "type": "space",
+              "unit": "mm"
+            },
+            {
+              "name": "Y",
+              "type": "space",
+              "unit": "mm"
+            },
+            {
+              "name": "X",
+              "type": "space",
+              "unit": "mm"
+            }
+          ]
+        }
+      ]
+    }
+  },
+  "zarr_format": 3,
+  "node_type": "group"
+}
\ No newline at end of file

Binary file test-data/input/uint8_10z_32y_40x.tiff has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output/float32_10z_32y_40x-colormap.html	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,53 @@
+
+        <div style="display: inline-flex; padding: 0.5em;">
+            <div style="display: inline-block; font-size: 0;">
+                <video autoplay loop muted style="max-width: 100%;"><source type="video/mp4" src="data:video/mp4;base64, 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"/></video>
+            </div>
+            
+            <div style="display: inline-flex; flex-direction: column; margin-left: 0.5em;">
+            <div style="display: inline-flex; flex: 1;">
+                <div style="background-image: url('data:image/svg+xml,%3Csvg viewBox=\'0 0 40 40\' width=\'20\' \
+                    height=\'20\' xmlns=\'http://www.w3.org/2000/svg\'%3E%3Cg fill=\'%23aaa\' fill-opacity=\'1\' \
+                    fill-rule=\'evenodd\'%3E%3Cpath d=\'M0 40L40 0H20L0 20M40 40V20L20 40\'/%3E%3C/g%3E%3C/svg%3E');
+                    background-color: #ffffff; width: 1em; display: inline;">
+
+                    <div style="box-shadow: inset 0px 0px 0px 1px black; height: 100%; background-size: 100% 100%;
+                        background-image: url('data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAAEAAAQACAYAAAAgBjM/AAAAYElEQVR4nO3VsQrAIBCD4dT3f+d0sKC4tINIL/zbqd+QwIGS7XbJapL0Mu0hFTFJqRWXNLQWSakVlzS0Vp2kobVIugvL/dXPtBwhScQzPkbGHQTyhSxbDIFUJT/+DeqSG/fRh5sUE4PeAAAAAElFTkSuQmCC');"></div>
+                </div>
+                <div style="display: inline-block;">
+                    
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.542202
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.523496
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.504791
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.486085
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 0; position: relative; padding-left: 0.5em;">
+                    0.46738
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; transform: translateY(-1px);"></span>
+                </div>
+                </div>
+            </div>
+            <span style="flex: 0; margin-bottom: -0.5em; margin-top: 0.5em; font-size: 70%;"></span>
+            </div>
+        </div>
+        
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output/float32_10z_32y_40x-dvr-mask.html	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,53 @@
+
+        <div style="display: inline-flex; padding: 0.5em;">
+            <div style="display: inline-block; font-size: 0;">
+                <video autoplay loop muted style="max-width: 100%;"><source type="video/mp4" src="data:video/mp4;base64, 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"/></video>
+            </div>
+            
+            <div style="display: inline-flex; flex-direction: column; margin-left: 0.5em;">
+            <div style="display: inline-flex; flex: 1;">
+                <div style="background-image: url('data:image/svg+xml,%3Csvg viewBox=\'0 0 40 40\' width=\'20\' \
+                    height=\'20\' xmlns=\'http://www.w3.org/2000/svg\'%3E%3Cg fill=\'%23aaa\' fill-opacity=\'1\' \
+                    fill-rule=\'evenodd\'%3E%3Cpath d=\'M0 40L40 0H20L0 20M40 40V20L20 40\'/%3E%3C/g%3E%3C/svg%3E');
+                    background-color: #ffffff; width: 1em; display: inline;">
+
+                    <div style="box-shadow: inset 0px 0px 0px 1px black; height: 100%; background-size: 100% 100%;
+                        background-image: url('data:image/png;base64, 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');"></div>
+                </div>
+                <div style="display: inline-block;">
+                    
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.542202
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.523496
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.504791
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.486085
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 0; position: relative; padding-left: 0.5em;">
+                    0.46738
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; transform: translateY(-1px);"></span>
+                </div>
+                </div>
+            </div>
+            <span style="flex: 0; margin-bottom: -0.5em; margin-top: 0.5em; font-size: 70%;"></span>
+            </div>
+        </div>
+        
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output/float32_10z_32y_40x-mip.html	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,53 @@
+
+        <div style="display: inline-flex; padding: 0.5em;">
+            <div style="display: inline-block; font-size: 0;">
+                <video autoplay loop muted style="max-width: 100%;"><source type="video/mp4" src="data:video/mp4;base64, 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"/></video>
+            </div>
+            
+            <div style="display: inline-flex; flex-direction: column; margin-left: 0.5em;">
+            <div style="display: inline-flex; flex: 1;">
+                <div style="background-image: url('data:image/svg+xml,%3Csvg viewBox=\'0 0 40 40\' width=\'20\' \
+                    height=\'20\' xmlns=\'http://www.w3.org/2000/svg\'%3E%3Cg fill=\'%23aaa\' fill-opacity=\'1\' \
+                    fill-rule=\'evenodd\'%3E%3Cpath d=\'M0 40L40 0H20L0 20M40 40V20L20 40\'/%3E%3C/g%3E%3C/svg%3E');
+                    background-color: #ffffff; width: 1em; display: inline;">
+
+                    <div style="box-shadow: inset 0px 0px 0px 1px black; height: 100%; background-size: 100% 100%;
+                        background-image: url('data:image/png;base64, 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');"></div>
+                </div>
+                <div style="display: inline-block;">
+                    
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.542202
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.523496
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.504791
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.486085
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 0; position: relative; padding-left: 0.5em;">
+                    0.46738
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; transform: translateY(-1px);"></span>
+                </div>
+                </div>
+            </div>
+            <span style="flex: 0; margin-bottom: -0.5em; margin-top: 0.5em; font-size: 70%;"></span>
+            </div>
+        </div>
+        
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/output/float32_5z_16y_20x.html	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,53 @@
+
+        <div style="display: inline-flex; padding: 0.5em;">
+            <div style="display: inline-block; font-size: 0;">
+                <video autoplay loop muted style="max-width: 100%;"><source type="video/mp4" src="data:video/mp4;base64, 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"/></video>
+            </div>
+            
+            <div style="display: inline-flex; flex-direction: column; margin-left: 0.5em;">
+            <div style="display: inline-flex; flex: 1;">
+                <div style="background-image: url('data:image/svg+xml,%3Csvg viewBox=\'0 0 40 40\' width=\'20\' \
+                    height=\'20\' xmlns=\'http://www.w3.org/2000/svg\'%3E%3Cg fill=\'%23aaa\' fill-opacity=\'1\' \
+                    fill-rule=\'evenodd\'%3E%3Cpath d=\'M0 40L40 0H20L0 20M40 40V20L20 40\'/%3E%3C/g%3E%3C/svg%3E');
+                    background-color: #ffffff; width: 1em; display: inline;">
+
+                    <div style="box-shadow: inset 0px 0px 0px 1px black; height: 100%; background-size: 100% 100%;
+                        background-image: url('data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAAEAAAQACAYAAAAgBjM/AAABrElEQVR4nMVUQXLEMAjD+Uv//6x+ojPqod0EYwnDJp3ewghLIDm2r88PHGawA2bmv2B2wAGvcvk6S6zAxcdZbGW5ACiA8HFgLqEAyYxtH2ykpdlhNl4l5tJRjVL568vwalHjR2iQszPpzCJ1fQppXwBQ7NMn2HwEqAopetcHy+abXVtivEIW3i9CaYyYlm4adpb0wonblBCQFCAdT1GQ5rjR37acG7FoE74OStYPr08SoxnPLZKyjIQRcV+QZqIbSKt83ogMoEIxhSJ6AhGdXdNU2B8LMzPbMZ0IxwLg0bWFUUkNLRQjmzZf8qgJhebrGc77/EDrkAUht1ucYH8iHUiaE1qGZmkLpZuPdIx3rBPAUJ6+Q1U0ZyYY7S1HJUbmaVuobUT/xM66G679v1B+om/dM6neuQdPW8fW148CapNWN2o/KJuN8ncypoAdVcH2gsVl1/YzVwYvrHo/I8HX/IVwzrdtSX4h0eIvAxK04ilOFi0kCWDLxWQmRlIZmRqDCXVGKwvNo8UocnMgAQgNShCE8jKlf7BFTkpsx4PTp16h5dVeCBuWdRZkcX8D0BMXtbnkkisAAAAASUVORK5CYII=');"></div>
+                </div>
+                <div style="display: inline-block;">
+                    
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.51775
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.507163
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.496576
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 25.0%; position: relative; padding-left: 0.5em;">
+                    0.485989
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; "></span>
+                </div>
+
+                <div style="line-height: 0; height: 0; position: relative; padding-left: 0.5em;">
+                    0.475402
+                    <span style="position: absolute; height: 1px; background-color: black;
+                        top: 0; left: -1em; width: 1.2em; transform: translateY(-1px);"></span>
+                </div>
+                </div>
+            </div>
+            <span style="flex: 0; margin-bottom: -0.5em; margin-top: 0.5em; font-size: 70%;"></span>
+            </div>
+        </div>
+        
\ No newline at end of file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/validators.xml	Mon Jan 05 20:10:28 2026 +0000
@@ -0,0 +1,55 @@
+<macros>
+
+    <!-- Macros for validation of inputs -->
+
+    <xml name="validators/is_single_channel">
+        <!--
+        The OME-Zarr datatype in Galaxy is currently not derived from the Image datatype, and it does
+        hence not inherit the metadata fields like `channels`. To cope with that, we allow all datasets
+        except those where we *know* that they are *not* single-channel.
+        -->
+        <validator type="expression" message="Dataset is a multi-channel image"
+            ><![CDATA[getattr(value.metadata, "channels", None) in (None, '') or int(value.metadata.channels) < 2]]></validator>
+    </xml>
+
+    <xml name="validators/is_single_frame">
+        <!--
+        The OME-Zarr datatype in Galaxy is currently not derived from the Image datatype, and it does
+        hence not inherit the metadata fields like `frames`. To cope with that, we allow all datasets
+        except those where we *know* that they are *not* single-frame.
+        -->
+        <validator type="expression" message="Dataset is a multi-frame image"
+            ><![CDATA[getattr(value.metadata, "frames", None) in (None, '') or int(value.metadata.frames) < 2]]></validator>
+    </xml>
+
+    <xml name="validators/is_2d">
+        <!--
+        The OME-Zarr datatype in Galaxy is currently not derived from the Image datatype, and it does
+        hence not inherit the metadata fields like `depth`. To cope with that, we allow all datasets
+        except those where we *know* that they are *not* 2-D.
+        -->
+        <validator type="expression" message="Dataset is a 3-D image"
+            ><![CDATA[getattr(value.metadata, "depth", None) in (None, '') or int(value.metadata.depth) < 2]]></validator>
+    </xml>
+
+    <xml name="validators/is_3d">
+        <!--
+        The OME-Zarr datatype in Galaxy is currently not derived from the Image datatype, and it does
+        hence not inherit the metadata fields like `depth`. To cope with that, we allow all datasets
+        except those where we *know* that they are *not* 3-D.
+        -->
+        <validator type="expression" message="Dataset is a 2-D image"
+            ><![CDATA[getattr(value.metadata, "depth", None) in (None, '') or int(value.metadata.depth) >= 2]]></validator>
+    </xml>
+
+    <xml name="validators/is_binary">
+        <!--
+        The OME-Zarr datatype in Galaxy is currently not derived from the Image datatype, and it does
+        hence not inherit the metadata fields like `num_unique_values`. To cope with that, we allow all
+        datasets except those where we *know* that they are *not* binary.
+        -->
+        <validator type="expression" message="Dataset is not a binary image"
+            ><![CDATA[getattr(value.metadata, "num_unique_values", None) in (None, '') or int(value.metadata.num_unique_values) <= 2]]></validator>
+    </xml>
+
+</macros>