Megabouts: a flexible pipeline for zebrafish locomotion analysis
Adrien JouaryiD, Pedro TM SilvaiD, Alexandre LabordeiD, J. Miguel MataiD, João C. MarquesiD, Elena MD CollinsiD, Randall Theodore PetersoniD, Christian K. MachensiD, Michael B. OrgeriD
Abstract
Accurate quantification of animal behavior is crucial for advancing neuroscience and for defining reliable physiological markers. We introduce Megabouts (megabouts.ai), a software package standardizing zebrafish larvae locomotion analysis across experimental setups. Its flexibility, achieved with a Transformer neural network, allows the classification of actions regardless of tracking methods or frame rates. We demonstrate Megabouts ability to quantify sensorimotor transformations and enhance sensitivity to drug-induced phenotypes through high-throughput, high-resolution behavioral analysis.
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