Zebrafish automatic monitoring system for conditioning and behavioral analysis

Studies using zebrafish (Danio rerio) in neuro-behavioural research are growing. Measuring fish behavior by computational methods is one of the most efficient ways to avoid human bias in experimental analyses, extending them to various approaches. Sometimes, thorough analyses are difficult to do, as...

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Principais autores: Barreiros, Marta de Oliveira, Barbosa, Felipe Gomes, Dantas, Diego de Oliveira, Santos, Daniel de Matos Luna dos, Ribeiro, Sidarta Tollendal Gomes, Santos, Giselle Cutrim de Oliveira, Barros, Allan Kardec
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Idioma:English
Publicado em: Springer Science and Business Media LLC
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spelling ri-123456789-323432021-05-02T11:35:49Z Zebrafish automatic monitoring system for conditioning and behavioral analysis Barreiros, Marta de Oliveira Barbosa, Felipe Gomes Dantas, Diego de Oliveira Santos, Daniel de Matos Luna dos Ribeiro, Sidarta Tollendal Gomes Santos, Giselle Cutrim de Oliveira Barros, Allan Kardec Zebrafish - Automatic monitoring system YOLOv2 network Behavior, animal Studies using zebrafish (Danio rerio) in neuro-behavioural research are growing. Measuring fish behavior by computational methods is one of the most efficient ways to avoid human bias in experimental analyses, extending them to various approaches. Sometimes, thorough analyses are difficult to do, as fish can behave unpredictably during an experimental strategy. However, the analyses can be implemented in an automated way, using an online strategy and video processing for a complete assessment of the zebrafish behavior, based on the detection and tracking of fish during an activity. Here, a fully automatic conditioning and detailed analysis of zebrafish behavior is presented. Microcontrolled components were used to control the delivery of visual and sound stimuli, in addition to the concise amounts of food after conditioned stimuli for adult zebrafish groups in a conventional tank. The images were captured and processed for automatic detection of the fish, and the training of the fish was done in two evaluation strategies: simple and complex. In simple conditioning, the zebrafish showed significant responses from the second attempt, learning that the conditioned stimulus was a predictor of food presentation in a specific space of the tank, where the food was dumped. When the fish were subjected to two stimuli for decision-making in the food reward, the zebrafish obtained better responses to red light stimuli in relation to vibration. The behavior change was clear in stimulated fish in relation to the control group, thus, the distances traveled and the speed were greater, while the polarization was lower in stimulated fish. This automated system allows for the conditioning and assessment of zebrafish behavior online, with greater stability in experiments, and in the analysis of the behavior of individual fish or fish schools, including learning and memory studies 2021-04-30T13:20:40Z 2021-04-30T13:20:40Z 2021-04-29 article BARREIROS, Marta de Oliveira; BARBOSA, Felipe Gomes; DANTAS, Diego de Oliveira; SANTOS, Daniel de Matos Luna dos; RIBEIRO, Sidarta; SANTOS, Giselle Cutrim de Oliveira; BARROS, Allan Kardec. Zebrafish automatic monitoring system for conditioning and behavioral analysis. Scientific Reports, [S.L.], v. 11, p. 9330, abr. 2021. Doi: http://dx.doi.org/10.1038/s41598-021-87502-6. Disponível em: https://www.nature.com/articles/s41598-021-87502-6. Acesso em: 30 abr. 2021. https://repositorio.ufrn.br/handle/123456789/32343 10.1038/s41598-021-87502-6 en Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ application/pdf Springer Science and Business Media LLC
institution Repositório Institucional
collection RI - UFRN
language English
topic Zebrafish - Automatic monitoring system
YOLOv2 network
Behavior, animal
spellingShingle Zebrafish - Automatic monitoring system
YOLOv2 network
Behavior, animal
Barreiros, Marta de Oliveira
Barbosa, Felipe Gomes
Dantas, Diego de Oliveira
Santos, Daniel de Matos Luna dos
Ribeiro, Sidarta Tollendal Gomes
Santos, Giselle Cutrim de Oliveira
Barros, Allan Kardec
Zebrafish automatic monitoring system for conditioning and behavioral analysis
description Studies using zebrafish (Danio rerio) in neuro-behavioural research are growing. Measuring fish behavior by computational methods is one of the most efficient ways to avoid human bias in experimental analyses, extending them to various approaches. Sometimes, thorough analyses are difficult to do, as fish can behave unpredictably during an experimental strategy. However, the analyses can be implemented in an automated way, using an online strategy and video processing for a complete assessment of the zebrafish behavior, based on the detection and tracking of fish during an activity. Here, a fully automatic conditioning and detailed analysis of zebrafish behavior is presented. Microcontrolled components were used to control the delivery of visual and sound stimuli, in addition to the concise amounts of food after conditioned stimuli for adult zebrafish groups in a conventional tank. The images were captured and processed for automatic detection of the fish, and the training of the fish was done in two evaluation strategies: simple and complex. In simple conditioning, the zebrafish showed significant responses from the second attempt, learning that the conditioned stimulus was a predictor of food presentation in a specific space of the tank, where the food was dumped. When the fish were subjected to two stimuli for decision-making in the food reward, the zebrafish obtained better responses to red light stimuli in relation to vibration. The behavior change was clear in stimulated fish in relation to the control group, thus, the distances traveled and the speed were greater, while the polarization was lower in stimulated fish. This automated system allows for the conditioning and assessment of zebrafish behavior online, with greater stability in experiments, and in the analysis of the behavior of individual fish or fish schools, including learning and memory studies
format article
author Barreiros, Marta de Oliveira
Barbosa, Felipe Gomes
Dantas, Diego de Oliveira
Santos, Daniel de Matos Luna dos
Ribeiro, Sidarta Tollendal Gomes
Santos, Giselle Cutrim de Oliveira
Barros, Allan Kardec
author_facet Barreiros, Marta de Oliveira
Barbosa, Felipe Gomes
Dantas, Diego de Oliveira
Santos, Daniel de Matos Luna dos
Ribeiro, Sidarta Tollendal Gomes
Santos, Giselle Cutrim de Oliveira
Barros, Allan Kardec
author_sort Barreiros, Marta de Oliveira
title Zebrafish automatic monitoring system for conditioning and behavioral analysis
title_short Zebrafish automatic monitoring system for conditioning and behavioral analysis
title_full Zebrafish automatic monitoring system for conditioning and behavioral analysis
title_fullStr Zebrafish automatic monitoring system for conditioning and behavioral analysis
title_full_unstemmed Zebrafish automatic monitoring system for conditioning and behavioral analysis
title_sort zebrafish automatic monitoring system for conditioning and behavioral analysis
publisher Springer Science and Business Media LLC
publishDate 2021
url https://repositorio.ufrn.br/handle/123456789/32343
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AT santosdanieldematoslunados zebrafishautomaticmonitoringsystemforconditioningandbehavioralanalysis
AT ribeirosidartatollendalgomes zebrafishautomaticmonitoringsystemforconditioningandbehavioralanalysis
AT santosgisellecutrimdeoliveira zebrafishautomaticmonitoringsystemforconditioningandbehavioralanalysis
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