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MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology
Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for many animals in parallel. We developed MARGO, a MATLAB-based, real-time animal tracking suite for custom behavioral experiments. We demonstrated that MAR...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876843/ https://www.ncbi.nlm.nih.gov/pubmed/31765421 http://dx.doi.org/10.1371/journal.pone.0224243 |
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author | Werkhoven, Zach Rohrsen, Christian Qin, Chuan Brembs, Björn de Bivort, Benjamin |
author_facet | Werkhoven, Zach Rohrsen, Christian Qin, Chuan Brembs, Björn de Bivort, Benjamin |
author_sort | Werkhoven, Zach |
collection | PubMed |
description | Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for many animals in parallel. We developed MARGO, a MATLAB-based, real-time animal tracking suite for custom behavioral experiments. We demonstrated that MARGO can rapidly and accurately track large numbers of animals in parallel over very long timescales, typically when spatially separated such as in multiwell plates. We incorporated control of peripheral hardware, and implemented a flexible software architecture for defining new experimental routines. These features enable closed-loop delivery of stimuli to many individuals simultaneously. We highlight MARGO’s ability to coordinate tracking and hardware control with two custom behavioral assays (measuring phototaxis and optomotor response) and one optogenetic operant conditioning assay. There are currently several open source animal trackers. MARGO’s strengths are 1) fast and accurate tracking, 2) high throughput, 3) an accessible interface and data output and 4) real-time closed-loop hardware control for for sensory and optogenetic stimuli, all of which are optimized for large-scale experiments. |
format | Online Article Text |
id | pubmed-6876843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68768432019-12-08 MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology Werkhoven, Zach Rohrsen, Christian Qin, Chuan Brembs, Björn de Bivort, Benjamin PLoS One Research Article Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for many animals in parallel. We developed MARGO, a MATLAB-based, real-time animal tracking suite for custom behavioral experiments. We demonstrated that MARGO can rapidly and accurately track large numbers of animals in parallel over very long timescales, typically when spatially separated such as in multiwell plates. We incorporated control of peripheral hardware, and implemented a flexible software architecture for defining new experimental routines. These features enable closed-loop delivery of stimuli to many individuals simultaneously. We highlight MARGO’s ability to coordinate tracking and hardware control with two custom behavioral assays (measuring phototaxis and optomotor response) and one optogenetic operant conditioning assay. There are currently several open source animal trackers. MARGO’s strengths are 1) fast and accurate tracking, 2) high throughput, 3) an accessible interface and data output and 4) real-time closed-loop hardware control for for sensory and optogenetic stimuli, all of which are optimized for large-scale experiments. Public Library of Science 2019-11-25 /pmc/articles/PMC6876843/ /pubmed/31765421 http://dx.doi.org/10.1371/journal.pone.0224243 Text en © 2019 Werkhoven et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Werkhoven, Zach Rohrsen, Christian Qin, Chuan Brembs, Björn de Bivort, Benjamin MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology |
title | MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology |
title_full | MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology |
title_fullStr | MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology |
title_full_unstemmed | MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology |
title_short | MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology |
title_sort | margo (massively automated real-time gui for object-tracking), a platform for high-throughput ethology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876843/ https://www.ncbi.nlm.nih.gov/pubmed/31765421 http://dx.doi.org/10.1371/journal.pone.0224243 |
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