Unknown

Dataset Information

High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.


ABSTRACT: Understanding the behavioral and morphological dynamics of moving model organisms like the zebrafish larvae requires accurate, high-throughput 3D analysis. However, traditional single-view 2D video tracking fails to capture the full scope of natural 3D movements and postural dynamics. Here, we present a novel high-throughput 24-camera array microscope with a co-designed "mirrored well plate" that allows for snapshot imaging of up to 48 wells over a 118 mm × 82 mm field of view from two orthogonal directions (i.e., a top-view and side-view). Accurate 3D position estimation and tracking is achieved with an efficient machine learning algorithm that scales well to high-throughput measurements. The proposed approach automates parallelized 3D model organism behavioral analysis, providing 3D skel

SUBMITTER: Chen H 

PROVIDER: S-EPMC12265530 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature