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Currently, napari-lattice Workflow module iterates through each channel and applies the custom processing defined in the workflow.
For cellpose, if a multichannel image is given, this can be used as input for improved prediction using cyto models.
For example if channel 1 is nuclei and channel 2 is cytoplasm, segmentation maybe more accurate on the combined multichannel image than on channel 1 or two individually.
Either new function for this or alter the code here:
Currently, napari-lattice
Workflow
module iterates through each channel and applies the custom processing defined in the workflow.For cellpose, if a multichannel image is given, this can be used as input for improved prediction using cyto models.
For example if channel 1 is nuclei and channel 2 is cytoplasm, segmentation maybe more accurate on the combined multichannel image than on channel 1 or two individually.
Either new function for this or alter the code here:
napari_lattice/src/napari_lattice/io.py
Lines 358 to 395 in e77e4b5
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