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.

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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
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article

BullFish: Software for an automated stepwise analysis of positional and postural kinematics of zebrafish locomotion

Chak-kwan Lee, Sherry Sin-Hang Yeung, Raymond Chuen‐Chung Chang, Gordon Tin-Chun Wong et al.
iScience
Zebrafish Biomedical Research Applications
article

BullFish: Software for an automated stepwise analysis of positional and postural kinematics of zebrafish locomotion

Chak-kwan Lee, Sherry Sin-Hang Yeung, Raymond Chuen‐Chung Chang, Gordon Tin-Chun Wong, Yong-qi Luo, Wai-Hang Chan, Ho-Ming Cheng
article en

Abstract

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.

iScienceVol. 29(6)
University of Hong Kong (HK)
Openalex Percentile: Top 24%
Zebrafish Biomedical Research Applications
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