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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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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. |
format | Online Article Text |
id | pubmed-4486997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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