Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring

Abstract

Summary: Frequent monitoring of laboratory animals is critical for ensuring animal welfare and experimental data collection. To minimize the adverse and confounding effects caused by current monitoring protocols and human presence, we developed a low-cost, non-invasive, remotely accessible, extensible infrared video monitoring system. This protocol describes the construction and operation of the system, followed by applying deep-learning neural networks to track group-housed, unmarked mice for objective behavioral quantification. This system can be adapted to a variety of home-cage environments and species.

Keywords

• Model Organisms
• Neuroscience
• Behavior
• Computer sciences