Quantitative assessment of individual retinal layers from SD-OCT in vivo imaging

Summary: Merveilles de couleur dans la rétine - Experimentica designed an AI-based model capable of recognizing and quantifying retinal thickness layers from multiple SD-OCT scans.


Experimentica team designed an AI-based model, which is capable of automatically recognizing and quantitatively evaluating the thickness of individual retinal layers from multiple SD-OCT scans.

This clip from Experimentica’s YouTube channel shows an SD-OCT scan of the rat retina with nerve fiber layer together with retinal ganglion cell layer (first layer from the top, in grey), inner plexiform layer (in red), inner nuclear layer (in green), outer plexiform layer (in purple), outer nuclear layer (forest green), and outer segments of photoreceptor cells (blue).

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