Zebrafish automatic monitoring system for conditioning and behavioral analysis

Detalhes bibliográficos
Autor(a) principal: Barreiros, Marta de Oliveira
Data de Publicação: 2021
Outros Autores: 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
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/32343
Resumo: 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
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spelling Barreiros, Marta de OliveiraBarbosa, Felipe GomesDantas, Diego de OliveiraSantos, Daniel de Matos Luna dosRibeiro, Sidarta Tollendal GomesSantos, Giselle Cutrim de OliveiraBarros, Allan Kardec2021-04-30T13:20:40Z2021-04-30T13:20:40Z2021-04-29BARREIROS, 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/123456789/3234310.1038/s41598-021-87502-6Springer Science and Business Media LLCAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessZebrafish - Automatic monitoring systemYOLOv2 networkBehavior, animalZebrafish automatic monitoring system for conditioning and behavioral analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleStudies 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. 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dc.title.pt_BR.fl_str_mv Zebrafish automatic monitoring system for conditioning and behavioral analysis
title Zebrafish automatic monitoring system for conditioning and behavioral analysis
spellingShingle Zebrafish automatic monitoring system for conditioning and behavioral analysis
Barreiros, Marta de Oliveira
Zebrafish - Automatic monitoring system
YOLOv2 network
Behavior, animal
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
author Barreiros, Marta de Oliveira
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_role author
author2 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
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv 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
dc.subject.por.fl_str_mv Zebrafish - Automatic monitoring system
YOLOv2 network
Behavior, animal
topic Zebrafish - Automatic monitoring system
YOLOv2 network
Behavior, animal
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
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-04-30T13:20:40Z
dc.date.available.fl_str_mv 2021-04-30T13:20:40Z
dc.date.issued.fl_str_mv 2021-04-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv 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.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/32343
dc.identifier.doi.none.fl_str_mv 10.1038/s41598-021-87502-6
identifier_str_mv 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.
10.1038/s41598-021-87502-6
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http://creativecommons.org/licenses/by/3.0/br/
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