Fig. 1

Cell segmentation and AI training steps using Cellpose. (A) Steps for image segmentation with Cellpose which used an U-net model pre-trained on different cell types (Cyto3 model). The initial segmentation was not efficient on NCAM-labeled cultured corneal endothelial cells. Cell areas were coded by colors. (B) Steps for training a new model consisted in the selection of NCAM-labeled image of various quality (n = 15 images), followed by manual labeling and then a 4-fold cross validation training to optimize epochs and control segmentation quality of the newly trained model (tuned model). (C) Comparison of the same image segmented with the pre-trained Cyto3 model and with our tuned model. Scale bar = 500 μm on each image.