Traditional methods for understanding animal behavior through videos required experimenters to rewatch videos and manually score timing and location of events. This approach is time consuming, and prone to inconsistencies between different scorers. Pose estimation...
Björn Albrecht and colleagues in the lab of York Winter from Humboldt Universität have developed an innovative system that enhances the efficiency of markerless pose estimation. Their method integrates existing technologies like KineWheel and DeepLabCut, specifically...
Researchers from the Sathyanesan Lab at the University of Dayton have introduced MyVivarium, an open source tool for managing animal colonies. Through an online web application that is easily deployed to cloud, all lab members may track individual animals by mapping...
ArUco (“Augmented Reality University of Cordoba”) Markers were developed by Thomas Smith and Trevor Smith in a joint effort with collaborators from the University of Texas at Dallas, West Virginia University, and Case Western Reserve University. These...
Nicholas Michelson and colleagues, in the lab of Timothy Murphy at the University of British Columbia, developed Meso-Py. It is a Raspberry-Pi based platform for dual-brain calcium imaging in mice during head-fixed social interactions. Designed to explore the neural...
