Fully automated detection, segmentation, and analysis of in vivo RPE single cells.

Florentino Luciano Caetano Dos SantosTimothé LaforestMathieu KünziLaura KowalczukFrancine Behar-CohenChristophe Moser

Published in: Eye (London, England) (2020)

The present study provides the first fully automated quantitative assessment of human RPE single cells in vivo. The method provides a baseline for future research in the field of clinical ophthalmology, enabling characterisation and diagnostics of retinal diseases at the single-cell level.

Keyphrases

induced apoptosis
deep learning
cell cycle arrest
single cell
high throughput
machine learning
endothelial cells
optical coherence tomography
artificial intelligence
endoplasmic reticulum stress
diabetic retinopathy
rna seq
signaling pathway
cell proliferation