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New improved method to measure oxygen levels in the retina developed in the Côté laboratory.

DePaoli DT, Tossou P, Parent M, Sauvageau D, Côté DC. Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry. Scientific Reports. 2019;9(1):11387 Figure 1

Retinal oxymetry (measurement of the oxygenation in the retina) is a non-invasive method of investigating eye health and vasculature.  Recently, retinal oximetry has even shown the possibility of non-invasively monitoring some neurodegenerative diseases. A team of researchers at the CERVO Brain Research Centre has developed a convolutional neural network algorithm for multi-wavelength oximetry, showing a greatly improved calculation performance in comparison to previously reported techniques for retinal oxymetry.  Their results were published in the journal Scientific Reports and is available in open access: DePaoli DT, Tossou P, Parent M, Sauvageau D, Côté DC. Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry. Scientific Reports. 2019;9(1):11387

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