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A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena

The growing interest in studying social behaviours of swarming fruit flies, Drosophila melanogaster, has heightened the need for developing tools that provide quantitative motion data. To achieve such a goal, multi-camera three-dimensional tracking technology is the key experimental gateway. We have...

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Detalles Bibliográficos
Autores principales: Cheng, Xi En, Qian, Zhi-Ming, Wang, Shuo Hong, Jiang, Nan, Guo, Aike, Chen, Yan Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470659/
https://www.ncbi.nlm.nih.gov/pubmed/26083385
http://dx.doi.org/10.1371/journal.pone.0129657
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author Cheng, Xi En
Qian, Zhi-Ming
Wang, Shuo Hong
Jiang, Nan
Guo, Aike
Chen, Yan Qiu
author_facet Cheng, Xi En
Qian, Zhi-Ming
Wang, Shuo Hong
Jiang, Nan
Guo, Aike
Chen, Yan Qiu
author_sort Cheng, Xi En
collection PubMed
description The growing interest in studying social behaviours of swarming fruit flies, Drosophila melanogaster, has heightened the need for developing tools that provide quantitative motion data. To achieve such a goal, multi-camera three-dimensional tracking technology is the key experimental gateway. We have developed a novel tracking system for tracking hundreds of fruit flies flying in a confined cubic flight arena. In addition to the proposed tracking algorithm, this work offers additional contributions in three aspects: body detection, orientation estimation, and data validation. To demonstrate the opportunities that the proposed system offers for generating high-throughput quantitative motion data, we conducted experiments on five experimental configurations. We also performed quantitative analysis on the kinematics and the spatial structure and the motion patterns of fruit fly swarms. We found that there exists an asymptotic distance between fruit flies in swarms as the population density increases. Further, we discovered the evidence for repulsive response when the distance between fruit flies approached the asymptotic distance. Overall, the proposed tracking system presents a powerful method for studying flight behaviours of fruit flies in a three-dimensional environment.
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spelling pubmed-44706592015-06-29 A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena Cheng, Xi En Qian, Zhi-Ming Wang, Shuo Hong Jiang, Nan Guo, Aike Chen, Yan Qiu PLoS One Research Article The growing interest in studying social behaviours of swarming fruit flies, Drosophila melanogaster, has heightened the need for developing tools that provide quantitative motion data. To achieve such a goal, multi-camera three-dimensional tracking technology is the key experimental gateway. We have developed a novel tracking system for tracking hundreds of fruit flies flying in a confined cubic flight arena. In addition to the proposed tracking algorithm, this work offers additional contributions in three aspects: body detection, orientation estimation, and data validation. To demonstrate the opportunities that the proposed system offers for generating high-throughput quantitative motion data, we conducted experiments on five experimental configurations. We also performed quantitative analysis on the kinematics and the spatial structure and the motion patterns of fruit fly swarms. We found that there exists an asymptotic distance between fruit flies in swarms as the population density increases. Further, we discovered the evidence for repulsive response when the distance between fruit flies approached the asymptotic distance. Overall, the proposed tracking system presents a powerful method for studying flight behaviours of fruit flies in a three-dimensional environment. Public Library of Science 2015-06-17 /pmc/articles/PMC4470659/ /pubmed/26083385 http://dx.doi.org/10.1371/journal.pone.0129657 Text en © 2015 Cheng et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Cheng, Xi En
Qian, Zhi-Ming
Wang, Shuo Hong
Jiang, Nan
Guo, Aike
Chen, Yan Qiu
A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
title A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
title_full A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
title_fullStr A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
title_full_unstemmed A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
title_short A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena
title_sort novel method for tracking individuals of fruit fly swarms flying in a laboratory flight arena
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470659/
https://www.ncbi.nlm.nih.gov/pubmed/26083385
http://dx.doi.org/10.1371/journal.pone.0129657
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