Fig. 3 | Scientific Reports

Fig. 3

From: Investigating the role of molecular coating in human corneal endothelial cell primary culture using artificial intelligence-driven image analysis

Fig. 3

Validation of the AI-based method for quantifying the various hCECs morphological parameters. (A) Endothelial cell cultures of highly variable quality used for AI algorithm validation. Cell lateral membranes were labeled with anti-NCAM (in green) and the nuclei were counterstained using DAPI (in blue). The images were taken in the center of each well at x10 magnification with a zoom x6 in the center of the image. Image scale bar = 300 μm, zoom scale bar = 50 μm. (B) Evaluation of 6 parameters across 4 different culture qualities. Graph illustrating 6 objective evaluation parameters across 4 culture qualities: (1) EndoMT cells at passage 7; (2) Mixed population quality at passage 5; (3) High quality – young donor (below 30 yo) at passage 4; (4) High quality – aged donor (over 30 yo), at passage 11. ns = non-significant = p-value > 0.05, *p-value < 0.05, **p-value < 0.01, ***p-value < 0.001.

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