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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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. |
format | Online Article Text |
id | pubmed-5444858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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