PittsburghV1, Main, Exploration, bibRecord, 001852

Quantification of larval zebrafish motor function in multi-well plates using open-source MATLAB® applications

Identifieur interne : 001852 ( Main/Exploration ); précédent : 001851; suivant : 001853

Quantification of larval zebrafish motor function in multi-well plates using open-source MATLAB® applications

Auteurs : Yangzhong Zhou [États-Unis, République populaire de Chine] ; Richard T. Cattley [États-Unis] ; Clinton L. Cario [États-Unis] ; Qing Bai [États-Unis] ; Edward A. Burton [États-Unis]

Source :

Nature protocols [ 1754-2189 ] ; 2014.

RBID : PMC:4169233

Descripteurs français

KwdFr :
- Activité motrice (physiologie), Animaux, Danio zébré (physiologie), Enregistrement sur magnétoscope (), Enregistrement sur magnétoscope (instrumentation), Larve, Logiciel, Traitement d'image par ordinateur (), Traitement d'image par ordinateur (instrumentation).
MESH :
- physiologie : Activité motrice, Danio zébré.
- instrumentation : Animaux, Enregistrement sur magnétoscope, Larve, Logiciel, Traitement d'image par ordinateur.

English descriptors

KwdEn :
- Animals, Image Processing, Computer-Assisted (instrumentation), Image Processing, Computer-Assisted (methods), Larva, Motor Activity (physiology), Software, Video Recording (instrumentation), Video Recording (methods), Zebrafish (physiology).
MESH :
- instrumentation : Image Processing, Computer-Assisted, Video Recording.
- methods : Image Processing, Computer-Assisted, Video Recording.
- physiology : Motor Activity, Zebrafish.
- Animals, Larva, Software.

Abstract

This article describes a method to quantify the movements of larval zebrafish in multi-well plates, using the open-source MATLAB® applications LSRtrack and LSRanalyze. The protocol comprises four stages: generation of high-quality, flatly-illuminated video recordings with exposure settings that facilitate object recognition; analysis of the resulting recordings using tools provided in LSRtrack to optimize tracking accuracy and motion detection; analysis of tracking data using LSRanalyze or custom MATLAB® scripts; implementation of validation controls. The method is reliable, automated and flexible, requires less than one hour of hands-on work for completion once optimized, and shows excellent signal:noise characteristics. The resulting data can be analyzed to determine: positional preference; displacement, velocity and acceleration; duration and frequency of movement events and rest periods. This approach is widely applicable to analyze spontaneous or stimulus-evoked zebrafish larval neurobehavioral phenotypes resulting from a broad array of genetic and environmental manipulations, in a multi-well plate format suitable for high-throughput applications.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169233

DOI: 10.1038/nprot.2014.094
PubMed: 24901738
PubMed Central: 4169233

Affiliations:

Le document en format XML

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<term>Motor Activity (physiology)</term>
<term>Software</term>
<term>Video Recording (instrumentation)</term>
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<term>Enregistrement sur magnétoscope (instrumentation)</term>
<term>Larve</term>
<term>Logiciel</term>
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<term>Traitement d'image par ordinateur (instrumentation)</term>
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<term>Video Recording</term>
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<term>Danio zébré</term>
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<front><div type="abstract" xml:lang="en"><p id="P1">This article describes a method to quantify the movements of larval zebrafish in
multi-well plates, using the open-source MATLAB® applications
<italic>LSRtrack</italic>
 and <italic>LSRanalyze</italic>. The protocol comprises four
stages: generation of high-quality, flatly-illuminated video recordings with exposure
settings that facilitate object recognition; analysis of the resulting recordings using
tools provided in <italic>LSRtrack</italic> to optimize tracking accuracy and motion
detection; analysis of tracking data using <italic>LSRanalyze</italic> or custom
MATLAB® scripts; implementation of validation controls. The method is reliable,
automated and flexible, requires less than one hour of hands-on work for completion once
optimized, and shows excellent signal:noise characteristics. The resulting data can be
analyzed to determine: positional preference; displacement, velocity and acceleration;
duration and frequency of movement events and rest periods. This approach is widely
applicable to analyze spontaneous or stimulus-evoked zebrafish larval neurobehavioral
phenotypes resulting from a broad array of genetic and environmental manipulations, in a
multi-well plate format suitable for high-throughput applications.</p>
</div>
</front>
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<name sortKey="Burton, Edward A" sort="Burton, Edward A" uniqKey="Burton E" first="Edward A." last="Burton">Edward A. Burton</name>
<name sortKey="Burton, Edward A" sort="Burton, Edward A" uniqKey="Burton E" first="Edward A." last="Burton">Edward A. Burton</name>
<name sortKey="Burton, Edward A" sort="Burton, Edward A" uniqKey="Burton E" first="Edward A." last="Burton">Edward A. Burton</name>
<name sortKey="Burton, Edward A" sort="Burton, Edward A" uniqKey="Burton E" first="Edward A." last="Burton">Edward A. Burton</name>
<name sortKey="Burton, Edward A" sort="Burton, Edward A" uniqKey="Burton E" first="Edward A." last="Burton">Edward A. Burton</name>
<name sortKey="Cario, Clinton L" sort="Cario, Clinton L" uniqKey="Cario C" first="Clinton L." last="Cario">Clinton L. Cario</name>
<name sortKey="Cario, Clinton L" sort="Cario, Clinton L" uniqKey="Cario C" first="Clinton L." last="Cario">Clinton L. Cario</name>
<name sortKey="Cattley, Richard T" sort="Cattley, Richard T" uniqKey="Cattley R" first="Richard T." last="Cattley">Richard T. Cattley</name>
<name sortKey="Cattley, Richard T" sort="Cattley, Richard T" uniqKey="Cattley R" first="Richard T." last="Cattley">Richard T. Cattley</name>
<name sortKey="Zhou, Yangzhong" sort="Zhou, Yangzhong" uniqKey="Zhou Y" first="Yangzhong" last="Zhou">Yangzhong Zhou</name>
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   |texte=   Quantification of larval zebrafish motor function in multi-well plates using
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Quantification of larval zebrafish motor function in multi-well plates using open-source MATLAB® applications

Quantification of larval zebrafish motor function in multi-well plates using open-source MATLAB® applications

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