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Automated measurement of upper thermal limits in small aquatic animals
We present a method for automating the measurement of upper thermal limits in small aquatic organisms. Upper thermal limits are frequently defined by the cessation of movement at high temperature, with measurement being performed by manual observation. Consequently, estimates of upper thermal limits...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140313/ https://www.ncbi.nlm.nih.gov/pubmed/30012577 http://dx.doi.org/10.1242/jeb.182386 |
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author | Burton, Tim Zeis, Bettina Einum, Sigurd |
author_facet | Burton, Tim Zeis, Bettina Einum, Sigurd |
author_sort | Burton, Tim |
collection | PubMed |
description | We present a method for automating the measurement of upper thermal limits in small aquatic organisms. Upper thermal limits are frequently defined by the cessation of movement at high temperature, with measurement being performed by manual observation. Consequently, estimates of upper thermal limits may be subject to error and bias, both within and among observers. Our method utilises video-based tracking software to record the movement of individuals when exposed to high, lethal temperatures. We develop an algorithm in the R computing language that can objectively identify the loss of locomotory function from tracking data. Using independent experimental data, we validate our approach by demonstrating the expected response in upper thermal limits to acclimation temperature. |
format | Online Article Text |
id | pubmed-6140313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61403132018-09-25 Automated measurement of upper thermal limits in small aquatic animals Burton, Tim Zeis, Bettina Einum, Sigurd J Exp Biol Methods and Techniques We present a method for automating the measurement of upper thermal limits in small aquatic organisms. Upper thermal limits are frequently defined by the cessation of movement at high temperature, with measurement being performed by manual observation. Consequently, estimates of upper thermal limits may be subject to error and bias, both within and among observers. Our method utilises video-based tracking software to record the movement of individuals when exposed to high, lethal temperatures. We develop an algorithm in the R computing language that can objectively identify the loss of locomotory function from tracking data. Using independent experimental data, we validate our approach by demonstrating the expected response in upper thermal limits to acclimation temperature. The Company of Biologists Ltd 2018-09-01 2018-09-13 /pmc/articles/PMC6140313/ /pubmed/30012577 http://dx.doi.org/10.1242/jeb.182386 Text en © 2018. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Methods and Techniques Burton, Tim Zeis, Bettina Einum, Sigurd Automated measurement of upper thermal limits in small aquatic animals |
title | Automated measurement of upper thermal limits in small aquatic animals |
title_full | Automated measurement of upper thermal limits in small aquatic animals |
title_fullStr | Automated measurement of upper thermal limits in small aquatic animals |
title_full_unstemmed | Automated measurement of upper thermal limits in small aquatic animals |
title_short | Automated measurement of upper thermal limits in small aquatic animals |
title_sort | automated measurement of upper thermal limits in small aquatic animals |
topic | Methods and Techniques |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140313/ https://www.ncbi.nlm.nih.gov/pubmed/30012577 http://dx.doi.org/10.1242/jeb.182386 |
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