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University of California, San Franciso

1 ARTICLES PUBLISHED IN JoVE

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Neuroscience

PyOKR: A Semi-Automated Method for Quantifying Optokinetic Reflex Tracking Ability
James K. Kiraly 1, Scott C. Harris 2, Timour Al-Khindi 1, Felice A. Dunn 2, Alex L. Kolodkin 1
1Solomon H. Snyder Department of Neuroscience, The Johns Hopkins Kavli Neuroscience Discovery Institute, The Johns Hopkins University School of Medicine, 2Department of Ophthalmology, University of California, San Franciso

We describe here PyOKR, a semi-automated quantitative analysis method that directly measures eye movements resulting from visual responses to two-dimensional image motion. A Python-based user interface and analysis algorithm allows for higher throughput and more accurate quantitative measurements of eye-tracking parameters than previous methods.

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