Supporting Data For: "Deep Learning-based Multi-Camera 3D-Analysis for Automated Quantification of Optomotor Response in Mice"

This research project explores the analysis and quantification of Optomotor Response (OMR) in Mice. OMR is a reflex response that is used to analyse vision acuity in preclinical research. The experiment involves placing the animal inside a chamber surrounded by computer screens to create a virtual stimulus that the animal manifests as a cyclinder made up of gratings of customizable widths (spatial frequency). The cylinder rotates in either clock-wise or counter clockwise directions stimulating the left eye or the right eye, respectively. If the animal can discern the movement of the gratings, it reflexively follows the stimulus by shifting its head in the same direction. If The subject does not respond to the stimulus by following the stimulus with its head, it is deem to not be able to perceive the stimulus at that particular spatial frequency. The experiment follows a staircase protocol to test the mouse at multiple spatial frequencies until the maximum spatial frequency at which the animal can track reliably is found. The data here shows the recordings of the animal behaviour and the analysis of its motion features that were obtained by pose estimation and used to develop a machine learning model to classify the whether animals are exhibiting a positive behaviour or negative behaviour. The dataset contains old and young mice behaviour responses that were used to compare age-related changes. The angular velocity and duration of response were one of several features that extracted and compared.