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Ethoscopes: An open platform for high-throughput ethomics
Here, we present the use of ethoscopes, which are machines for high-throughput analysis of behavior in Drosophila and other animals. Ethoscopes provide a software and hardware solution that is reproducible and easily scalable. They perform, in real-time, tracking and profiling of behavior by using a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648103/ https://www.ncbi.nlm.nih.gov/pubmed/29049280 http://dx.doi.org/10.1371/journal.pbio.2003026 |
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author | Geissmann, Quentin Garcia Rodriguez, Luis Beckwith, Esteban J. French, Alice S. Jamasb, Arian R. Gilestro, Giorgio F. |
author_facet | Geissmann, Quentin Garcia Rodriguez, Luis Beckwith, Esteban J. French, Alice S. Jamasb, Arian R. Gilestro, Giorgio F. |
author_sort | Geissmann, Quentin |
collection | PubMed |
description | Here, we present the use of ethoscopes, which are machines for high-throughput analysis of behavior in Drosophila and other animals. Ethoscopes provide a software and hardware solution that is reproducible and easily scalable. They perform, in real-time, tracking and profiling of behavior by using a supervised machine learning algorithm, are able to deliver behaviorally triggered stimuli to flies in a feedback-loop mode, and are highly customizable and open source. Ethoscopes can be built easily by using 3D printing technology and rely on Raspberry Pi microcomputers and Arduino boards to provide affordable and flexible hardware. All software and construction specifications are available at http://lab.gilest.ro/ethoscope. |
format | Online Article Text |
id | pubmed-5648103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56481032017-11-03 Ethoscopes: An open platform for high-throughput ethomics Geissmann, Quentin Garcia Rodriguez, Luis Beckwith, Esteban J. French, Alice S. Jamasb, Arian R. Gilestro, Giorgio F. PLoS Biol Community Page Here, we present the use of ethoscopes, which are machines for high-throughput analysis of behavior in Drosophila and other animals. Ethoscopes provide a software and hardware solution that is reproducible and easily scalable. They perform, in real-time, tracking and profiling of behavior by using a supervised machine learning algorithm, are able to deliver behaviorally triggered stimuli to flies in a feedback-loop mode, and are highly customizable and open source. Ethoscopes can be built easily by using 3D printing technology and rely on Raspberry Pi microcomputers and Arduino boards to provide affordable and flexible hardware. All software and construction specifications are available at http://lab.gilest.ro/ethoscope. Public Library of Science 2017-10-19 /pmc/articles/PMC5648103/ /pubmed/29049280 http://dx.doi.org/10.1371/journal.pbio.2003026 Text en © 2017 Geissmann 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 | Community Page Geissmann, Quentin Garcia Rodriguez, Luis Beckwith, Esteban J. French, Alice S. Jamasb, Arian R. Gilestro, Giorgio F. Ethoscopes: An open platform for high-throughput ethomics |
title | Ethoscopes: An open platform for high-throughput ethomics |
title_full | Ethoscopes: An open platform for high-throughput ethomics |
title_fullStr | Ethoscopes: An open platform for high-throughput ethomics |
title_full_unstemmed | Ethoscopes: An open platform for high-throughput ethomics |
title_short | Ethoscopes: An open platform for high-throughput ethomics |
title_sort | ethoscopes: an open platform for high-throughput ethomics |
topic | Community Page |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648103/ https://www.ncbi.nlm.nih.gov/pubmed/29049280 http://dx.doi.org/10.1371/journal.pbio.2003026 |
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