MEYE: Web-app for translational and real-time pupillometry

Mazziotti, R. M.; Carrara, F.; Viglione, A.; Lupori, L.; Lo Verde, L.; Benedetto, A.; Ricci, G.; Sagona, G.; Amato, G.; Pizzorusso, T.

doi:10.1101/2021.03.09.434438

bioRxiv · 10.1101/2021.03.09.434438

MEYE: Web-app for translational and real-time pupillometry

Mazziotti, R. M.·Carrara, F.·Viglione, A.·Lupori, L.·Lo Verde, L.·Benedetto, A.·Ricci, G.·Sagona, G.·Amato, G.·Pizzorusso, T.

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Abstract

Pupil dynamics alterations have been found in patients affected by a variety of neuropsychiatric conditions, including autism. Studies in mouse models have used pupillometry for phenotypic assessment and as a proxy for arousal. Both in mice and humans, pupillometry is non-invasive and allows for longitudinal experiments supporting temporal specificity, however its measure requires dedicated setups. Here, we introduce a Convolutional Neural Network that performs on-line pupillometry in both mice and humans in a web app format. This solution dramatically simplifies the usage of the tool for non-specialist and non-technical operators. Because a modern web browser is the only software requirement, this choice is of great interest given its easy deployment and set-up time reduction. The tested model performances indicate that the tool is sensitive enough to detect both spontaneous and evoked pupillary changes, and its output is comparable with state-of-the-art commercial devices.

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Mazziotti, R. M., Carrara, F., Viglione, A., Lupori, L., Lo Verde, L., Benedetto, A., Ricci, G., Sagona, G., Amato, G., Pizzorusso, T.. 2021-03-10. MEYE: Web-app for translational and real-time pupillometry. https://doi.org/10.1101/2021.03.09.434438

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