RT Journal Article SR Electronic T1 MEYE: Web App for Translational and Real-Time Pupillometry JF eneuro JO eNeuro FD Society for Neuroscience SP ENEURO.0122-21.2021 DO 10.1523/ENEURO.0122-21.2021 VO 8 IS 5 A1 Raffaele Mazziotti A1 Fabio Carrara A1 Aurelia Viglione A1 Leonardo Lupori A1 Luca Lo Verde A1 Alessandro Benedetto A1 Giulia Ricci A1 Giulia Sagona A1 Giuseppe Amato A1 Tommaso Pizzorusso YR 2021 UL http://www.eneuro.org/content/8/5/ENEURO.0122-21.2021.abstract AB 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 noninvasive and allows for longitudinal experiments supporting temporal specificity; however, its measure requires dedicated setups. Here, we introduce a convolutional neural network that performs online pupillometry in both mice and humans in a web app format. This solution dramatically simplifies the usage of the tool for the nonspecialist and nontechnical operators. Because a modern web browser is the only software requirement, this choice is of great interest given its easy deployment and setup time reduction. The tested model performances indicate that the tool is sensitive enough to detect both locomotor-induced and stimulus-evoked pupillary changes, and its output is comparable to state-of-the-art commercial devices.