Note
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Labels 3D#
View 3D labels.
import numpy as np
from scipy import ndimage as ndi
from skimage import data, filters, morphology
import napari
cells3d = data.cells3d()
viewer = napari.view_image(
cells3d, channel_axis=1, name=['membranes', 'nuclei']
)
membrane, nuclei = cells3d.transpose((1, 0, 2, 3)) / np.max(cells3d)
edges = filters.scharr(nuclei)
denoised = ndi.median_filter(nuclei, size=3)
thresholded = denoised > filters.threshold_li(denoised)
cleaned = morphology.remove_small_objects(
morphology.remove_small_holes(thresholded, 20**3),
20**3,
)
segmented = ndi.label(cleaned)[0]
# maxima = ndi.label(morphology.local_maxima(filters.gaussian(nuclei, sigma=10)))[0]
# markers_big = morphology.dilation(maxima, morphology.ball(5))
# segmented = segmentation.watershed(
# edges,
# markers_big,
# mask=cleaned,
# )
labels_layer = viewer.add_labels(segmented)
viewer.dims.ndisplay = 3
if __name__ == '__main__':
napari.run()