Lucas Miranda and colleagues at the Max Planck Institute of Psychiatry have developed DeepOF (Deep Open Field), a powerful open-source software package designed to process pose estimation data acquired using tools like DeepLabCut or SLEAP. DeepOF’s transforms...
Thomas Akam, from the University of Oxford, has developed an open-source active commutator designed to simplify one critical challenge of electrophysiology. This device addresses the common issue of tether tangling during experiments with freely moving subjects. The...
Breathing is a neuromuscular process that has been historically difficult to study in animal models. Typically, electromyography (EMG) or other approaches to record from respiratory muscles are conducted while the subject is under anesthesia, which limits our...
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...
