OptoPi: An open source flexible platform for the analysis of small animal behaviour.

3D-printing Arduino Behaviour LED Laser cutting Light stimulation Neuroscience Open hardware Optogenetics

Journal

HardwareX
ISSN: 2468-0672
Titre abrégé: HardwareX
Pays: England
ID NLM: 101710262

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 13 07 2022
revised: 24 02 2023
accepted: 11 06 2023
medline: 5 10 2023
pubmed: 5 10 2023
entrez: 5 10 2023
Statut: epublish

Résumé

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

Identifiants

pubmed: 37795340
doi: 10.1016/j.ohx.2023.e00443
pii: S2468-0672(23)00050-0
pmc: PMC10545942
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e00443

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Xavier Cano-Ferrer (X)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Ruairí J V Roberts (RJV)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Alice S French (AS)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Joost de Folter (J)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Hui Gong (H)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Luke Nightingale (L)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Amy Strange (A)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Albane Imbert (A)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Lucia L Prieto-Godino (LL)

The Francis Crick Institute, London NW1 1BF, United Kingdom.

Classifications MeSH