A novel 3D method of locomotor analysis in adult zebrafish: Implications for automated detection of CNS drug-evoked phenotypes

Adam Michael Stewart, Fabrizio Grieco, Ruud A.J. Tegelenbosch, Evan J. Kyzar, Michael Nguyen, Aleksandra Kaluyeva, Cai Song, Lucas P.J.J. Noldus, Allan V. Kalueff*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

71 Citations (Scopus)


Background: Expanding the spectrum of organisms to model human brain phenotypes is critical for our improved understanding of the pathobiology of neuropsychiatric disorders. Given the clear limitations of existing mammalian models, there is an urgent need for low-cost, high-throughput in-vivo technologies for drug and gene discovery. New method: Here, we introduce a new automated method for generating 3D (X,Y,Z) swim trajectories in adult zebrafish (Danio rerio), to improve their neurophenotyping. Results: Based on the Track3D module of EthoVision XT video tracking software (Noldus Information Technology), this tool enhances the efficient, high-throughput 3D analyses of zebrafish behavioral responses. Applied to adult zebrafish behavior, this 3D method is highly sensitive to various classes of psychotropic drugs, including selected psychostimulant and hallucinogenic agents. Comparison with existing Methods: Our present method offers a marked advance in the existing 2D and 3D methods of zebrafish behavioral phenotyping, minimizing research time and recording high-resolution, automatically synchronized videos with calculated, high-precision object positioning. Conclusions: Our novel approach brings practical simplicity and 'integrative' capacity to the often complex and error-prone quantification of zebrafish behavioral phenotypes. Illustrating the value of 3D swim path reconstructions for identifying experimentally-evoked phenotypic profiles, this method fosters innovative, ethologically relevant, and fully automated small molecule screens using adult zebrafish.

Original languageEnglish
Pages (from-to)66-74
Number of pages9
JournalJournal of Neuroscience Methods
Publication statusPublished - 30 Nov 2015
Externally publishedYes


  • Drug discovery
  • High-throughput screening
  • Neurophenotype
  • Video tracking
  • Zebrafish


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