Software identifies mouse behaviours frame by frame

It is a task many researchers would cede to automation and now, said Thomas Serre, assistant professor of cognitive, linguistic and psychological sciences at Brown University, it is finally possible.

Serre and colleagues from the Massachusetts Institute of Technology and California Institute of Technology have developed a computer program that is as accurate as people in identifying mouse behaviours in videos.

The team is making the fully customisable open-source software available for free. Given standard camcorder footage of a mouse, the software will automatically identify a mouse’s behaviour frame by frame.

The value of the software is that it could relieve graduate students and lab technicians from the boredom of performing similar tasks. It takes about 25 person hours to fully annotate an hour of mouse movies, so a small experiment with 10 mice who are each observed for five hours equates to 1,250 hours of work.

Because it is computerised, the system might also provide less subjective annotations than a human team would and could be less susceptible to bias.