Implementation and advancement of algorithm for extracting oxygen saturation data from multispectral analysis of the eye

To work on the development of a tool enabling the measurement of blood oxygenation in the eye in vivo, using non-invasive methods. More specifically, the student involved will work on the development, implementation, and advancement of an algorithm for the measurements of oxygen saturation (through oxyhemoglobin content) in the retina.

Faculty Supervisor:

Daniel Côté

Student:

Damon DePaoli

Partner:

Retnia Inc

Discipline:

Physics / Astronomy

Sector:

Life sciences

University:

Program:

Accelerate

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