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FIMTrack: An open source tracking and locomotion analysis software for small animals

Imaging and analyzing the locomotion behavior of small animals such as Drosophila larvae or C. elegans worms has become an integral subject of biological research. In the past we have introduced FIM, a novel imaging system feasible to extract high contrast images. This system in combination with the...

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Detalles Bibliográficos
Autores principales: Risse, Benjamin, Berh, Dimitri, Otto, Nils, Klämbt, Christian, Jiang, Xiaoyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444858/
https://www.ncbi.nlm.nih.gov/pubmed/28493862
http://dx.doi.org/10.1371/journal.pcbi.1005530
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author Risse, Benjamin
Berh, Dimitri
Otto, Nils
Klämbt, Christian
Jiang, Xiaoyi
author_facet Risse, Benjamin
Berh, Dimitri
Otto, Nils
Klämbt, Christian
Jiang, Xiaoyi
author_sort Risse, Benjamin
collection PubMed
description Imaging and analyzing the locomotion behavior of small animals such as Drosophila larvae or C. elegans worms has become an integral subject of biological research. In the past we have introduced FIM, a novel imaging system feasible to extract high contrast images. This system in combination with the associated tracking software FIMTrack is already used by many groups all over the world. However, so far there has not been an in-depth discussion of the technical aspects. Here we elaborate on the implementation details of FIMTrack and give an in-depth explanation of the used algorithms. Among others, the software offers several tracking strategies to cover a wide range of different model organisms, locomotion types, and camera properties. Furthermore, the software facilitates stimuli-based analysis in combination with built-in manual tracking and correction functionalities. All features are integrated in an easy-to-use graphical user interface. To demonstrate the potential of FIMTrack we provide an evaluation of its accuracy using manually labeled data. The source code is available under the GNU GPLv3 at https://github.com/i-git/FIMTrack and pre-compiled binaries for Windows and Mac are available at http://fim.uni-muenster.de.
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spelling pubmed-54448582017-06-06 FIMTrack: An open source tracking and locomotion analysis software for small animals Risse, Benjamin Berh, Dimitri Otto, Nils Klämbt, Christian Jiang, Xiaoyi PLoS Comput Biol Research Article Imaging and analyzing the locomotion behavior of small animals such as Drosophila larvae or C. elegans worms has become an integral subject of biological research. In the past we have introduced FIM, a novel imaging system feasible to extract high contrast images. This system in combination with the associated tracking software FIMTrack is already used by many groups all over the world. However, so far there has not been an in-depth discussion of the technical aspects. Here we elaborate on the implementation details of FIMTrack and give an in-depth explanation of the used algorithms. Among others, the software offers several tracking strategies to cover a wide range of different model organisms, locomotion types, and camera properties. Furthermore, the software facilitates stimuli-based analysis in combination with built-in manual tracking and correction functionalities. All features are integrated in an easy-to-use graphical user interface. To demonstrate the potential of FIMTrack we provide an evaluation of its accuracy using manually labeled data. The source code is available under the GNU GPLv3 at https://github.com/i-git/FIMTrack and pre-compiled binaries for Windows and Mac are available at http://fim.uni-muenster.de. Public Library of Science 2017-05-11 /pmc/articles/PMC5444858/ /pubmed/28493862 http://dx.doi.org/10.1371/journal.pcbi.1005530 Text en © 2017 Risse 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Risse, Benjamin
Berh, Dimitri
Otto, Nils
Klämbt, Christian
Jiang, Xiaoyi
FIMTrack: An open source tracking and locomotion analysis software for small animals
title FIMTrack: An open source tracking and locomotion analysis software for small animals
title_full FIMTrack: An open source tracking and locomotion analysis software for small animals
title_fullStr FIMTrack: An open source tracking and locomotion analysis software for small animals
title_full_unstemmed FIMTrack: An open source tracking and locomotion analysis software for small animals
title_short FIMTrack: An open source tracking and locomotion analysis software for small animals
title_sort fimtrack: an open source tracking and locomotion analysis software for small animals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444858/
https://www.ncbi.nlm.nih.gov/pubmed/28493862
http://dx.doi.org/10.1371/journal.pcbi.1005530
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