Minimum blending

Demonstrates how to use the minimum blending mode with inverted colormaps. minimum blending uses the minimum value of each R, G, B channel for each pixel. minimum blending can be used to yield multichannel color images on a white background, when the channels have inverted colormaps assigned. An inverted colormap is one where white [1, 1, 1] is used to represent the lowest values, as opposed to the more conventional black [0, 0, 0]. For example, try the colormaps prefixed with I, such as I Forest or I Bordeaux, from ChrisLUTs: https://github.com/cleterrier/ChrisLUTs .

from skimage import data
import napari

# create a viewer
viewer = napari.Viewer()

# Add the cells3d example image, using the two inverted colormaps
# and minimum blending mode. Note that the bottom-most layer
# must be translucent or opaque to prevent blending with the canvas.
viewer.add_image(data.cells3d(),
                            name=["membrane", "nuclei"],
                            channel_axis=1,
                            contrast_limits = [[1110, 23855], [1600, 50000]],
                            colormap = ["I Purple", "I Orange"],
                            blending= ["translucent_no_depth", "minimum"]
                            )

if __name__ == '__main__':
    napari.run()

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