More information extracted on mouse welfare
Faster detection of impacts on mouse well-being
Increased confidence in the evaluation of mouse well-being
The challenge lies in evaluating the well-being of mice in their laboratory environment and detecting changes in behavior that may be induced by a drug candidate or a pathology caused in the animal model. In genetically modified mice, the solution must meet the legal requirement of looking for any signs of altered animal welfare. As mice live at night, it is the ideal time to observe their behavior and identify changes in activity. However, most experiments are carried out during the day by short and repeated measurements or observations of a few minutes by manipulating the mice out of their cage. Due to the human work rhythm, the information obtained in the studies is partial and imperfect. The change in environment induces a high level of stress in mice, which can bias behavioral observation.
Thanks to Computer Vision technology, it is possible to automatically analyze the behavior of specific mice even when they are housed in a group in their hosting cage:
- Detection of mouse activity or immobility periods with tracking technology
- Detection of time spent drinking and eating
These detected durations are reported in graphs that researchers can analyze the following day to verify the achievement of study objectives and adjust protocols based on these observations.
“By improving the quality of our mouse observation processes, Deepomatic’s solution allows us to extract valuable information to assess better the well-being of the mice used in research.”Pierre LainéeHead of In Vivo Research Center FranceSanofi