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OptoPi: An open source flexible platform for the analysis of small animal behaviour
Behaviour is the ultimate output of neural circuit computations, and therefore its analysis is a cornerstone of neuroscience research. However, every animal and experimental paradigm requires different illumination conditions to capture and, in some cases, manipulate specific behavioural features. T...
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/PMC10545942/ https://www.ncbi.nlm.nih.gov/pubmed/37795340 http://dx.doi.org/10.1016/j.ohx.2023.e00443 |
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author | Cano-Ferrer, Xavier Roberts, Ruairí J.V. French, Alice S. de Folter, Joost Gong, Hui Nightingale, Luke Strange, Amy Imbert, Albane Prieto-Godino, Lucia L. |
author_facet | Cano-Ferrer, Xavier Roberts, Ruairí J.V. French, Alice S. de Folter, Joost Gong, Hui Nightingale, Luke Strange, Amy Imbert, Albane Prieto-Godino, Lucia L. |
author_sort | Cano-Ferrer, Xavier |
collection | PubMed |
description | Behaviour is the ultimate output of neural circuit computations, and therefore its analysis is a cornerstone of neuroscience research. However, every animal and experimental paradigm requires different illumination conditions to capture and, in some cases, manipulate specific behavioural features. This means that researchers often develop, from scratch, their own solutions and experimental set-ups. Here, we present OptoPi, an open source, affordable (∼ £600), behavioural arena with accompanying multi-animal tracking software. The system features highly customisable and reproducible visible and infrared illumination and allows for optogenetic stimulation. OptoPi acquires images using a Raspberry Pi camera, features motorised LED-based illumination, Arduino control, as well as irradiance monitoring to fine-tune illumination conditions with real time feedback. Our open-source software (BioImageProcessing) can be used to simultaneously track multiple unmarked animals both in on-line and off-line modes. We demonstrate the functionality of OptoPi by recording and tracking under different illumination conditions the spontaneous behaviour of larval zebrafish as well as adult Drosophila flies and their first instar larvae, an experimental animal that due to its small size and transparency has classically been hard to track. Further, we showcase OptoPi’s optogenetic capabilities through a series of experiments using transgenic Drosophila larvae. |
format | Online Article Text |
id | pubmed-10545942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105459422023-10-04 OptoPi: An open source flexible platform for the analysis of small animal behaviour Cano-Ferrer, Xavier Roberts, Ruairí J.V. French, Alice S. de Folter, Joost Gong, Hui Nightingale, Luke Strange, Amy Imbert, Albane Prieto-Godino, Lucia L. HardwareX Hardware Article Behaviour is the ultimate output of neural circuit computations, and therefore its analysis is a cornerstone of neuroscience research. However, every animal and experimental paradigm requires different illumination conditions to capture and, in some cases, manipulate specific behavioural features. This means that researchers often develop, from scratch, their own solutions and experimental set-ups. Here, we present OptoPi, an open source, affordable (∼ £600), behavioural arena with accompanying multi-animal tracking software. The system features highly customisable and reproducible visible and infrared illumination and allows for optogenetic stimulation. OptoPi acquires images using a Raspberry Pi camera, features motorised LED-based illumination, Arduino control, as well as irradiance monitoring to fine-tune illumination conditions with real time feedback. Our open-source software (BioImageProcessing) can be used to simultaneously track multiple unmarked animals both in on-line and off-line modes. We demonstrate the functionality of OptoPi by recording and tracking under different illumination conditions the spontaneous behaviour of larval zebrafish as well as adult Drosophila flies and their first instar larvae, an experimental animal that due to its small size and transparency has classically been hard to track. Further, we showcase OptoPi’s optogenetic capabilities through a series of experiments using transgenic Drosophila larvae. Elsevier 2023-06-19 /pmc/articles/PMC10545942/ /pubmed/37795340 http://dx.doi.org/10.1016/j.ohx.2023.e00443 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Hardware Article Cano-Ferrer, Xavier Roberts, Ruairí J.V. French, Alice S. de Folter, Joost Gong, Hui Nightingale, Luke Strange, Amy Imbert, Albane Prieto-Godino, Lucia L. OptoPi: An open source flexible platform for the analysis of small animal behaviour |
title | OptoPi: An open source flexible platform for the analysis of small animal behaviour |
title_full | OptoPi: An open source flexible platform for the analysis of small animal behaviour |
title_fullStr | OptoPi: An open source flexible platform for the analysis of small animal behaviour |
title_full_unstemmed | OptoPi: An open source flexible platform for the analysis of small animal behaviour |
title_short | OptoPi: An open source flexible platform for the analysis of small animal behaviour |
title_sort | optopi: an open source flexible platform for the analysis of small animal behaviour |
topic | Hardware Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545942/ https://www.ncbi.nlm.nih.gov/pubmed/37795340 http://dx.doi.org/10.1016/j.ohx.2023.e00443 |
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