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Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system
In internal fertilization animals, maintaining a copulation posture facilitates the process of transporting gametes from male to female. Here, we present a protocol to investigate the neural basis for copulation posture of fruit flies using a closed-loop real-time optogenetic system. We describe ste...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551656/ https://www.ncbi.nlm.nih.gov/pubmed/37788165 http://dx.doi.org/10.1016/j.xpro.2023.102623 |
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author | Yamanouchi, Hayato M. Kamikouchi, Azusa Tanaka, Ryoya |
author_facet | Yamanouchi, Hayato M. Kamikouchi, Azusa Tanaka, Ryoya |
author_sort | Yamanouchi, Hayato M. |
collection | PubMed |
description | In internal fertilization animals, maintaining a copulation posture facilitates the process of transporting gametes from male to female. Here, we present a protocol to investigate the neural basis for copulation posture of fruit flies using a closed-loop real-time optogenetic system. We describe steps for using deep learning analysis to enable optogenetic manipulation of neural activity only during copulation with high efficiency. This system can be applied to various animal behaviors other than copulation. For complete details on the use and execution of this protocol, please refer to Yamanouchi et al. (2023).(1) |
format | Online Article Text |
id | pubmed-10551656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105516562023-10-06 Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system Yamanouchi, Hayato M. Kamikouchi, Azusa Tanaka, Ryoya STAR Protoc Protocol In internal fertilization animals, maintaining a copulation posture facilitates the process of transporting gametes from male to female. Here, we present a protocol to investigate the neural basis for copulation posture of fruit flies using a closed-loop real-time optogenetic system. We describe steps for using deep learning analysis to enable optogenetic manipulation of neural activity only during copulation with high efficiency. This system can be applied to various animal behaviors other than copulation. For complete details on the use and execution of this protocol, please refer to Yamanouchi et al. (2023).(1) Elsevier 2023-10-02 /pmc/articles/PMC10551656/ /pubmed/37788165 http://dx.doi.org/10.1016/j.xpro.2023.102623 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Yamanouchi, Hayato M. Kamikouchi, Azusa Tanaka, Ryoya Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system |
title | Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system |
title_full | Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system |
title_fullStr | Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system |
title_full_unstemmed | Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system |
title_short | Protocol to investigate the neural basis for copulation posture of Drosophila using a closed-loop real-time optogenetic system |
title_sort | protocol to investigate the neural basis for copulation posture of drosophila using a closed-loop real-time optogenetic system |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551656/ https://www.ncbi.nlm.nih.gov/pubmed/37788165 http://dx.doi.org/10.1016/j.xpro.2023.102623 |
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