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Figure 3

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ZDB-FIG-210708-7

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Yang et al., 2021 - Zebrafish behavior feature recognition using three-dimensional tracking and machine learning

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Figure 3

Camera time synchronization and swim path reconstructions in adult zebrafish. (A) Animal behavior was manually observed, two cameras recorded the videos, and the time lag between two videos (ventral and lateral) was synchronized by an LED indicator. At the beginning of the experiment, the LED indicator was automatically turned on by Arduino. The experiment’s beginning frame of each video was detected via a computer vision analysis by a customized MATLAB program to ensure the accuracy of behavioral spatiotemporal data. (B) After time synchronization, 3D swimming path reconstruction was performed using a customized R program.

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