BullFish: Software for an automated stepwise analysis of positional and postural kinematics of zebrafish locomotion
Zebrafish are a tractable vertebrate model for studying locomotor behavior across development. We applied BullFish, an automated tracking and gait-analysis tool that quantifies macro- and micro-parameters-speed, orientation, tail- and trunk-bend angles, body curvature, stroke symmetry, and postural changes-across ages, sizes, and arbitrary arena shapes. In targeted experiments using a dopaminergic lesion model (6-OHDA) and a fin-amputation model, BullFish binned instantaneous swimming speed and extracted kinematic metrics within each bin (tail-beat frequency and amplitude, burst duration, inter-bout interval, and turn velocity). Dopaminergic loss spared low-speed metrics but reduced high-speed tail-beat frequency and amplitude, shortened burst durations, and decreased high-acceleration bouts-implicating deficits in rapid propulsion. Fin amputation preserved high-speed bursts but altered low-speed control with fewer fine postural corrections-consistent with impaired low-force maneuvering and stability. BullFish also corrected common tracking errors from other tools and delivered consistent, stage-spanning locomotor phenotypes to improve behavioral interpretation in neurobiology and injury studies.
Authors
- Chak-kwan Lee
- Sherry Sin-Hang Yeung
- Raymond Chuen‐Chung Chang (ORCID: https://orcid.org/0000-0001-8538-7993)
- Gordon Tin-Chun Wong
- Yong-qi Luo
- Wai-Hang Chan
- Ho-Ming Cheng (ORCID: https://orcid.org/0009-0005-1883-7292)
Institutions
- University of Hong Kong (HK)
Publication Details
- Journal
- iScience
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1016/j.isci.2026.115798
- Primary Topic
- Zebrafish Biomedical Research Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00