10.1523/ENEURO.0122-21.2021
https://zenodo.org/records/5575513
oai:zenodo.org:5575513
Mazziotti Raffaele
Mazziotti Raffaele
CNR-IN
Carrara Fabio
Carrara Fabio
CNR-ISTI
Viglione Aurelia
Viglione Aurelia
CNR-IN
Lupori Leonardo
Lupori Leonardo
CNR-IN
Lo Verde Luca
Lo Verde Luca
CNR-IN
Benedetto Alessandro
Benedetto Alessandro
UNIPI
Ricci Giulia
Ricci Giulia
UNIFI
Sagona Giulia
Sagona Giulia
CNR-IN
Amato Giuseppe
Amato Giuseppe
CNR-ISTI
Pizzorusso Tommaso
Pizzorusso Tommaso
SNS
MEYE: Web-app for translational and real-time pupillometry
Zenodo
2021
Artificial Itelligence
Deep Learning
Pupillometry
2021-09-13
eng
https://zenodo.org/communities/ai4eu
https://zenodo.org/communities/ai4media
Creative Commons Attribution 4.0 International
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 online pupillometry in both mice and humans in a web app format. This solution dramatically simplifies the usage of the tool for the 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 locomotor-induced and stimulus-evoked pupillary changes, and its output is comparable with state-of-the-art commercial devices.
European Commission
10.13039/501100000780
951911
A European Excellence Centre for Media, Society and Democracy
European Commission
10.13039/501100000780
825619
A European AI On Demand Platform and Ecosystem