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Long-duration animal tracking in difficult lighting conditions

High-throughput analysis of animal behavior requires software to analyze videos. Such software typically depends on the experiments’ being performed in good lighting conditions, but this ideal is difficult or impossible to achieve for certain classes of experiments. Here, we describe techniques that...

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Detalles Bibliográficos
Autores principales: Stern, Ulrich, Zhu, Edward Y., He, Ruo, Yang, Chung-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486997/
https://www.ncbi.nlm.nih.gov/pubmed/26130571
http://dx.doi.org/10.1038/srep10432
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author Stern, Ulrich
Zhu, Edward Y.
He, Ruo
Yang, Chung-Hui
author_facet Stern, Ulrich
Zhu, Edward Y.
He, Ruo
Yang, Chung-Hui
author_sort Stern, Ulrich
collection PubMed
description High-throughput analysis of animal behavior requires software to analyze videos. Such software typically depends on the experiments’ being performed in good lighting conditions, but this ideal is difficult or impossible to achieve for certain classes of experiments. Here, we describe techniques that allow long-duration positional tracking in difficult lighting conditions with strong shadows or recurring “on”/“off” changes in lighting. The latter condition will likely become increasingly common, e.g., for Drosophila due to the advent of red-shifted channelrhodopsins. The techniques enabled tracking with good accuracy in three types of experiments with difficult lighting conditions in our lab. Our technique handling shadows relies on single-animal tracking and on shadows’ and flies’ being accurately distinguishable by distance to the center of the arena (or a similar geometric rule); the other techniques should be broadly applicable. We implemented the techniques as extensions of the widely-used tracking software Ctrax; however, they are relatively simple, not specific to Drosophila, and could be added to other trackers as well.
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spelling pubmed-44869972015-07-08 Long-duration animal tracking in difficult lighting conditions Stern, Ulrich Zhu, Edward Y. He, Ruo Yang, Chung-Hui Sci Rep Article High-throughput analysis of animal behavior requires software to analyze videos. Such software typically depends on the experiments’ being performed in good lighting conditions, but this ideal is difficult or impossible to achieve for certain classes of experiments. Here, we describe techniques that allow long-duration positional tracking in difficult lighting conditions with strong shadows or recurring “on”/“off” changes in lighting. The latter condition will likely become increasingly common, e.g., for Drosophila due to the advent of red-shifted channelrhodopsins. The techniques enabled tracking with good accuracy in three types of experiments with difficult lighting conditions in our lab. Our technique handling shadows relies on single-animal tracking and on shadows’ and flies’ being accurately distinguishable by distance to the center of the arena (or a similar geometric rule); the other techniques should be broadly applicable. We implemented the techniques as extensions of the widely-used tracking software Ctrax; however, they are relatively simple, not specific to Drosophila, and could be added to other trackers as well. Nature Publishing Group 2015-07-01 /pmc/articles/PMC4486997/ /pubmed/26130571 http://dx.doi.org/10.1038/srep10432 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Stern, Ulrich
Zhu, Edward Y.
He, Ruo
Yang, Chung-Hui
Long-duration animal tracking in difficult lighting conditions
title Long-duration animal tracking in difficult lighting conditions
title_full Long-duration animal tracking in difficult lighting conditions
title_fullStr Long-duration animal tracking in difficult lighting conditions
title_full_unstemmed Long-duration animal tracking in difficult lighting conditions
title_short Long-duration animal tracking in difficult lighting conditions
title_sort long-duration animal tracking in difficult lighting conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486997/
https://www.ncbi.nlm.nih.gov/pubmed/26130571
http://dx.doi.org/10.1038/srep10432
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