Design of an artificial intelligence tool for studying the cellular organization of the retinal pigment epithelium

Brief Description of R&D Service

The retinal pigment epithelium is one of the essential layers of the ocular structure for phototransduction. Retinal dystrophies, which affect both photoreceptors and the pigment epithelium, result in the degeneration of this tissue. We have developed an artificial intelligence tool to automatically analyze confocal microscopy images of the retinal pigment epithelium, counting the number and distribution of cellular nuclei present. The tool is validated by comparing it with manual annotations and is used to conduct a comparative study between healthy and sick mice. The model has high precision in detecting and quantifying cellular nuclei in the retinal pigment epithelium, showing strong agreement with manual measurements.

Expected Results or Competitive Advantages

System capable of automating experimental analysis.