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Figure 2

ID
ZDB-FIG-210708-6
Publication
Yang et al., 2021 - Zebrafish behavior feature recognition using three-dimensional tracking and machine learning
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Figure 2

Schematics of the setup to acquire 3D trajectories in response to the experimental stimuli. (A) Experimental devices include an Arduino (open-

source microcontroller)-based programmed electric stimulus system and a two-camera video capture system. Naive wild-type zebrafish were placed in an unfamiliar novel tank. Animal behavior was manually observed, and two cameras recorded videos for automated analysis in EthoVision XT10. Tracking data for each subject were exported, processed and visualized by customized MATLAB and R software programs. (B) Flowchart illustrating the electric stimulus treatment protocol: QT phase: 30 s of quiescent time for free swimming and ES phase: electric stimulus (500 ms on and 500 ms off) was delivered to the zebrafish.

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