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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4470659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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