{{ t.heroSlogan }}

import numpy as np
from skimage import filters, measure, morphology

# Segmentation des noyaux — canal 2
nuclei = image[..., 2]
mask = nuclei > filters.threshold_otsu(nuclei)
mask = morphology.remove_small_objects(mask, 64)

# Mesures morphométriques
labels = measure.label(mask)
table = measure.regionprops_table(
    labels, nuclei,
    properties=("area", "circularity", "mean_intensity"),
)