.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_gallery/image_volume/image_volume_multi_channel.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download__gallery_image_volume_image_volume_multi_channel.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr__gallery_image_volume_image_volume_multi_channel.py:


Multi channel volumes
=====================

Example with multi-channel volume images. Use alpha_mode "add" for additive blending.

.. GENERATED FROM PYTHON SOURCE LINES 7-48

.. code-block:: Python


    # test_example = false
    # run_example = false

    import fastplotlib as fpl
    from ome_zarr.io import parse_url
    from ome_zarr.reader import Reader


    # load data
    url = "https://uk1s3.embassy.ebi.ac.uk/idr/zarr/v0.5/idr0062A/6001240_labels.zarr"

    # read the image data
    reader = Reader(parse_url(url))
    # first node is image data
    image_node = next(reader())

    dask_data = image_node.data

    # use the highest resolution image in the pyramid zarr
    voldata = dask_data[0]

    figure = fpl.Figure(
        cameras="3d",
        controller_types="orbit",
        size=(700, 700)
    )

    # add first channel, use cyan colormap
    vol_ch0 = figure[0, 0].add_image_volume(voldata[0], cmap="cyan", alpha_mode="add")
    # add another channel, use magenta cmap
    vol_ch1 = figure[0, 0].add_image_volume(voldata[1], cmap="magenta", alpha_mode="add")

    figure.show()


    # NOTE: fpl.loop.run() should not be used for interactive sessions
    # See the "JupyterLab and IPython" section in the user guide
    if __name__ == "__main__":
        print(__doc__)
        fpl.loop.run()


.. _sphx_glr_download__gallery_image_volume_image_volume_multi_channel.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: image_volume_multi_channel.py <image_volume_multi_channel.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: image_volume_multi_channel.zip <image_volume_multi_channel.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_