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Animals move. Keeping track of that can help researchers answer questions across a number of scientific disciplines, but it’s a tedious task to watch and annotate hours of videos of mice and worms and zebrafish (and more!) moving about for analysis. Can software help? A new Review compares and contrasts 28 different tracking software applications for different model species to help inform what option might be the best one for the question you want to ask of your animals.
Animal welfare concerns, reduced flight options and increased costs are pushing researchers to consider shipping frozen sperm and embryos rather than live mice.
Rodent grooming is an important behaviour that is commonly used to characterize preclinical models of human brain disorders. A new paper has leveraged deep learning to develop a precise, high throughput and automated grooming classifier to facilitate mechanistic neuroscience research on grooming.
In this review, the authors compare 28 freely available animal-tracking software applications, highlighting the strengths and weaknesses of the applications in the tracking pipeline, from video acquisition to trajectory generation and data analysis.