Note
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Datasets with 3 or more spatial dimensions#
Most scikit-image functions are compatible with 3D datasets, i.e., images with
3 spatial dimensions (to be distinguished from 2D multichannel images, which
are also arrays with
three axes). skimage.data.cells3d() returns a 3D fluorescence microscopy
image of cells. The returned dataset is a 3D multichannel image with dimensions
provided in (z, c, y, x) order. Channel 0 contains cell membranes, while channel
1 contains nuclei.
The example below shows how to explore this dataset. This 3D image can be used to test the various functions of scikit-image.