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Automated High-throughput Behavioral Analyses in Zebrafish Larvae
Authors:Holly Richendrfer  Robbert Créton
Institution:1.Department of Molecular Biology, Cell Biology and Biochemistry, Brown University
Abstract:We have created a novel high-throughput imaging system for the analysis of behavior in 7-day-old zebrafish larvae in multi-lane plates. This system measures spontaneous behaviors and the response to an aversive stimulus, which is shown to the larvae via a PowerPoint presentation. The recorded images are analyzed with an ImageJ macro, which automatically splits the color channels, subtracts the background, and applies a threshold to identify individual larvae placement in the lanes. We can then import the coordinates into an Excel sheet to quantify swim speed, preference for edge or side of the lane, resting behavior, thigmotaxis, distance between larvae, and avoidance behavior. Subtle changes in behavior are easily detected using our system, making it useful for behavioral analyses after exposure to environmental toxicants or pharmaceuticals.
Keywords:Behavior  Issue 77  Neuroscience  Neurobiology  Developmental Biology  Cellular Biology  Molecular Biology  Biochemistry  Physiology  Anatomy  Toxicology  Behavioral Sciences  Zebrafish larvae  high-throughput assay  thigmotaxis  avoidance  behavior  automated analysis  Zebrafish  Danio rerio  animal model
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