MEYE

MEYE performs real-time pupillometry to quantify pupil dynamics in humans and mice across experimental conditions including head-fixation, virtual reality, and during 2-photon calcium imaging.

Key Features:

• Real-Time Analysis: Performs online analysis of pupil size dynamics from live video streams or recorded videos.
• CNN-Based Quantification: Leverages a convolutional neural network (CNN) for automated pupil detection and measurement.
• Cross-Species Application: Applicable to both human and mouse subjects for comparative and translational studies.
• Noninvasive Measurement: Enables longitudinal, noninvasive monitoring of pupil dynamics without invasive procedures.
• Compatibility with Experimental Setups: Operates under head-fixation, in virtual reality environments, and concurrently with 2-photon calcium imaging.
• Sensitivity to Behavioral and Stimulus Effects: Detects locomotor-induced and stimulus-evoked changes in pupil size with sensitivity comparable to state-of-the-art commercial devices.

Scientific Applications:

• Neuropsychiatric Research: Quantifies pupil dynamics relevant to arousal and phenotypic alterations in conditions such as autism.
• Phenotypic Assessment in Mouse Models: Provides objective pupillometry metrics for assessing neurological and behavioral phenotypes in mice.
• Concurrent Imaging Correlates: Enables correlation of pupil dynamics with neural activity during 2-photon calcium imaging experiments.

Methodology:

MEYE applies a convolutional neural network (CNN) for online pupillometry to detect and quantify locomotor-induced and stimulus-evoked pupil size changes with sensitivity comparable to state-of-the-art commercial devices.