A new paper from the Krupic Lab, published in Cell Reports Methods, shows the development of a fully automated AI-driven home cage monitoring system. The system incorporates a T-maze test, novel object recognition as well as object-in-place recognition tests accompanied by measurement of other locomotion behaviours, all done without any food and water restrictions and no input from the experimenter. It is hoped this may transform how behavioural testing is done in mice, and will lead to it becoming a more effective and reproducible process.
Read the full paper online: A fully automated home cage for long-term continuous phenotyping of mouse cognition and behavior: Cell Reports Methods
