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Fly and mouse tracking models and kinematics related to Anipose toolkit paper

Karashchuk, Pierre1; Walling-Bell, Sarah1; Sanders, Elischa2; Azim, Eiman2; Rupp, Katie L.1; Dickinson, Evyn S.1; Brunton, Bingni W.1; Tuthill, John C.1

Published Nov 28, 2021 on Dryad. https://doi.org/10.5061/dryad.nzs7h44s4

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Abstract

This is a series of datasets related to the Anipose paper. We provide these to allow others to reproduce our tracking results and build upon them.

Anipose is an open-source toolkit for robust markerless 3D pose estimation. Anipose is built on the 2D tracking method DeepLabCut, so users can expand their existing experimental setups to obtain accurate 3D tracking. It consists of four components: (1) a 3D calibration module, (2) filters to resolve 2D tracking errors, (3) a triangulation module that integrates temporal and spatial regularization, and (4) a pipeline to structure processing of large numbers of videos.

Applying 3D tracking to estimate joint angles of walking Drosophila, we found that flies move their middle legs primarily by rotating their coxa and femur, whereas the front and rear legs are driven primarily by femur-tibia flexion. We then show how Anipose can be used to quantify differences between successful and unsuccessful trajectories in a mouse reaching task.

We share these fly and mouse datasets and tracking models in this dataset to allow others to reproduce our findings and reuse the training data and models in their research.