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A three-dimensional virtual mouse generates synthetic training data for behavioral analysis

2021; Nature Portfolio; Volume: 18; Issue: 4 Linguagem: Inglês

10.1038/s41592-021-01103-9

1548-7105

Luis Bolaños, Dongsheng Xiao, Nancy L. Ford, Jeff M. LeDue, Pankaj Gupta, Carlos Doebeli, Hao Hu, Helge Rhodin, Timothy H. Murphy,

Cell Image Analysis Techniques

We developed a three-dimensional (3D) synthetic animated mouse based on computed tomography scans that is actuated using animation and semirandom, joint-constrained movements to generate synthetic behavioral data with ground-truth label locations. Image-domain translation produced realistic synthetic videos used to train two-dimensional (2D) and 3D pose estimation models with accuracy similar to typical manual training datasets. The outputs from the 3D model-based pose estimation yielded better definition of behavioral clusters than 2D videos and may facilitate automated ethological classification. Bolaños et al. present a realistic three-dimensional virtual mouse model that can be animated and that facilitates the training of pose estimation algorithms.