Literature DB >> 25844837

Measuring zebrafish turning rate.

Violet Mwaffo1, Sachit Butail, Mario di Bernardo, Maurizio Porfiri.   

Abstract

Zebrafish is becoming a popular animal model in preclinical research, and zebrafish turning rate has been proposed for the analysis of activity in several domains. The turning rate is often estimated from the trajectory of the fish centroid that is output by commercial or custom-made target tracking software run on overhead videos of fish swimming. However, the accuracy of such indirect methods with respect to the turning rate associated with changes in heading during zebrafish locomotion is largely untested. Here, we compare two indirect methods for the turning rate estimation using the centroid velocity or position data, with full shape tracking for three different video sampling rates. We use tracking data from the overhead video recorded at 60, 30, and 15 frames per second of zebrafish swimming in a shallow water tank. Statistical comparisons of absolute turning rate across methods and sampling rates indicate that, while indirect methods are indistinguishable from full shape tracking, the video sampling rate significantly influences the turning rate measurement. The results of this study can aid in the selection of the video capture frame rate, an experimental design parameter in zebrafish behavioral experiments where activity is an important measure.

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Year:  2015        PMID: 25844837     DOI: 10.1089/zeb.2015.1081

Source DB:  PubMed          Journal:  Zebrafish        ISSN: 1545-8547            Impact factor:   1.985


  4 in total

1.  Design and development of a robotic predator as a stimulus in conditioned place aversion for the study of the effect of ethanol and citalopram in zebrafish.

Authors:  Romain J G Clément; Simone Macrì; Maurizio Porfiri
Journal:  Behav Brain Res       Date:  2019-10-12       Impact factor: 3.332

2.  Model-based feedback control of live zebrafish behavior via interaction with a robotic replica.

Authors:  Pietro DeLellis; Edoardo Cadolini; Arrigo Croce; Yanpeng Yang; Mario di Bernardo; Maurizio Porfiri
Journal:  IEEE Trans Robot       Date:  2019-09-23       Impact factor: 5.567

3.  Modeling zebrafish geotaxis as a feedback control process.

Authors:  Daniel A Burbano-L; Maurizio Porfiri
Journal:  Proc Am Control Conf       Date:  2021-07-28

4.  Comparison between two- and three-dimensional scoring of zebrafish response to psychoactive drugs: identifying when three-dimensional analysis is needed.

Authors:  Simone Macrì; Romain J G Clément; Chiara Spinello; Maurizio Porfiri
Journal:  PeerJ       Date:  2019-10-16       Impact factor: 2.984

  4 in total

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