This comprehensive guide explores DeepLabCut (DLC), the leading open-source toolbox for markerless pose estimation.
This comprehensive guide explores the application of DeepLabCut, an open-source deep learning framework, for automated pose estimation and behavioral analysis in two fundamental rodent anxiety tests: the Open Field Test...
This comprehensive tutorial provides researchers, scientists, and drug development professionals with a complete guide to using the DeepLabCut Graphical User Interface (GUI).
This article provides a definitive guide to DeepLabCut (DLC), a premier open-source toolbox for markerless animal pose estimation, tailored for neuroscientists and drug development researchers.
This comprehensive guide explores DeepLabCut (DLC) for 3D markerless pose estimation, a transformative tool for quantifying animal and human behavior in biomedical research.
This article provides a comprehensive guide for researchers and drug development professionals on applying the DeepLabCut (DLC) toolkit for markerless pose estimation.
This article provides a detailed, practical guide for researchers and drug development professionals on using DeepLabCut for accurate, high-throughput quantification of repetitive behaviors in animal models.
This comprehensive guide compares three leading behavioral analysis platforms—DeepLabCut (markerless pose estimation), SimBA (behavioral classification), and HomeCageScan (commercial automated scoring)—for rodent studies.
This article provides a comprehensive comparison of DeepLabCut (DLC) and HomeCageScan (HCS) for automated rodent grooming analysis.
This article presents a detailed comparison and validation study between DeepLabCut (DLC), a deep learning-based pose estimation tool, and EthoVision XT, a commercial video tracking software.