ArticleFrontiers in neural circuits2013
ZebraZoom: an automated program for high-throughput behavioral analysis and categorization.
Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed.
- Serotonergic Control of Spine Morphology During Growth in Zebrafish.bioRxiv : the preprint server for biology · 2026Article
- Article
- Comparative Investigations of the Neurophysiological Mechanisms of Escape Behavior: A Course-based Undergraduate Research Experience.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2026Article
- A reparative neutrophil subpopulation accelerates spinal cord regeneration in zebrafish by controlling macrophage inflammation via Il-4.Journal of neuroinflammation · 2026Article
- Molecular and functional dissection using CaMPARI-seq reveals the neuronal organization for dissociating optic flow-dependent behaviors.Nature communications · 2026Article
- Larval zebrafish minimize energy consumption during hunting via adaptive movement selection.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Neurotoxic Effects of Acute Tributyltin Exposure in Adult Zebrafish: Behavioral Impairments and Mechanistic Insights.Metabolites · 2026Article
- Impact of maternal compensation on developmental phenotypes in a zebrafish model of severe congenital muscular dystrophy.PLoS genetics · 2026Article
- Integrated single-cell atlases unveil the operation principles of whole-brain 5-HT neuronal subsystems.Science advances · 2025Article
- Complex Sound Discrimination in Zebrafish: Auditory Learning Within a Novel "Go/Go" Decision-Making Paradigm.Animals : an open access journal from MDPI · 2025Article
- Structural similarities reveal an expansive conotoxin family with a two-finger toxin fold.Protein science : a publication of the Protein Society · 2025Article
- V2b Neurons Act via Multiple Targets to Produce in Phase Inhibition during Locomotion.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Automated detection of complex zebrafish seizure behavior at scale.Communications biology · 2025Article
- A detailed quantification of larval zebrafish behavioral repertoire uncovers principles of hunting behavior.iScience · 2025Article
- Marigold: a machine learning-based web app for zebrafish pose tracking.BMC bioinformatics · 2025Article
- Zebrafish larva interface: an accessible, modular platform forFrontiers in neuroscience · 2025Article
- Agarose stamped method: a simple and customizable immobilization technique for zebrafish larvae.Frontiers in behavioral neuroscience · 2025Article
- Defects in Exosome Biogenesis Are Associated with Sensorimotor Defects in ZebrafishThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Uncovering multiscale structure in the variability of larval zebrafish navigation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- χ-Conotoxins are an Evolutionary Innovation of Mollusk-Hunting Cone Snails as a Counter-Adaptation to Prey Defense.Molecular biology and evolution · 2024Article
5 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The zebrafish larva stands out as an emergent model organism for translational studies involving gene or drug screening thanks to its size, genetics, and permeability. At the larval stage, locomotion occurs in short episodes punctuated by periods of rest. Although phenotyping behavior is a key component of large-scale screens, it has not yet been automated in this model system. We developed ZebraZoom, a program to automatically track larvae and identify maneuvers for many animals performing discrete movements. Our program detects each episodic movement and extracts large-scale statistics on motor patterns to produce a quantification of the locomotor repertoire. We used ZebraZoom to identify motor defects induced by a glycinergic receptor antagonist. The analysis of the blind mutant atoh7 revealed small locomotor defects associated with the mutation. Using multiclass supervised machine learning, ZebraZoom categorized all episodes of movement for each larva into one of three possible maneuvers: slow forward swim, routine turn, and escape. ZebraZoom reached 91% accuracy for categorization of stereotypical maneuvers that four independent experimenters unanimously identified. For all maneuvers in the data set, ZebraZoom agreed with four experimenters in 73.2-82.5% of cases. We modeled the series of maneuvers performed by larvae as Markov chains and observed that larvae often repeated the same maneuvers within a group. When analyzing subsequent maneuvers performed by different larvae, we found that larva-larva interactions occurred as series of escapes. Overall, ZebraZoom reached the level of precision found in manual analysis but accomplished tasks in a high-throughput format necessary for large screens.
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