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Automated Tracking of Drosophila Specimens
The fruit fly Drosophila Melanogaster has become a model organism in the study of neurobiology and behavior patterns. The analysis of the way the fly moves and its behavior is of great scientific interest for research on aspects such as drug tolerance, aggression or ageing in humans. In this article...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570375/ https://www.ncbi.nlm.nih.gov/pubmed/26258779 http://dx.doi.org/10.3390/s150819369 |
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author | Chao, Rubén Macía-Vázquez, Germán Zalama, Eduardo Gómez-García-Bermejo, Jaime Perán, José-Ramón |
author_facet | Chao, Rubén Macía-Vázquez, Germán Zalama, Eduardo Gómez-García-Bermejo, Jaime Perán, José-Ramón |
author_sort | Chao, Rubén |
collection | PubMed |
description | The fruit fly Drosophila Melanogaster has become a model organism in the study of neurobiology and behavior patterns. The analysis of the way the fly moves and its behavior is of great scientific interest for research on aspects such as drug tolerance, aggression or ageing in humans. In this article, a procedure for detecting, identifying and tracking numerous specimens of Drosophila by means of computer vision-based sensing systems is presented. This procedure allows dynamic information about each specimen to be collected at each moment, and then for its behavior to be quantitatively characterized. The proposed algorithm operates in three main steps: a pre-processing step, a detection and segmentation step, and tracking shape. The pre-processing and segmentation steps allow some limits of the image acquisition system and some visual artifacts (such as shadows and reflections) to be dealt with. The improvements introduced in the tracking step allow the problems corresponding to identity loss and swaps, caused by the interaction between individual flies, to be solved efficiently. Thus, a robust method that compares favorably to other existing methods is obtained. |
format | Online Article Text |
id | pubmed-4570375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-45703752015-09-17 Automated Tracking of Drosophila Specimens Chao, Rubén Macía-Vázquez, Germán Zalama, Eduardo Gómez-García-Bermejo, Jaime Perán, José-Ramón Sensors (Basel) Article The fruit fly Drosophila Melanogaster has become a model organism in the study of neurobiology and behavior patterns. The analysis of the way the fly moves and its behavior is of great scientific interest for research on aspects such as drug tolerance, aggression or ageing in humans. In this article, a procedure for detecting, identifying and tracking numerous specimens of Drosophila by means of computer vision-based sensing systems is presented. This procedure allows dynamic information about each specimen to be collected at each moment, and then for its behavior to be quantitatively characterized. The proposed algorithm operates in three main steps: a pre-processing step, a detection and segmentation step, and tracking shape. The pre-processing and segmentation steps allow some limits of the image acquisition system and some visual artifacts (such as shadows and reflections) to be dealt with. The improvements introduced in the tracking step allow the problems corresponding to identity loss and swaps, caused by the interaction between individual flies, to be solved efficiently. Thus, a robust method that compares favorably to other existing methods is obtained. MDPI 2015-08-06 /pmc/articles/PMC4570375/ /pubmed/26258779 http://dx.doi.org/10.3390/s150819369 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chao, Rubén Macía-Vázquez, Germán Zalama, Eduardo Gómez-García-Bermejo, Jaime Perán, José-Ramón Automated Tracking of Drosophila Specimens |
title | Automated Tracking of Drosophila Specimens |
title_full | Automated Tracking of Drosophila Specimens |
title_fullStr | Automated Tracking of Drosophila Specimens |
title_full_unstemmed | Automated Tracking of Drosophila Specimens |
title_short | Automated Tracking of Drosophila Specimens |
title_sort | automated tracking of drosophila specimens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570375/ https://www.ncbi.nlm.nih.gov/pubmed/26258779 http://dx.doi.org/10.3390/s150819369 |
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