Cargando…
Quantifying pigment cover to assess variation in animal colouration
The study of animal colouration addresses fundamental and applied aspects relevant to a wide range of fields, including behavioural ecology, environmental adaptation and visual ecology. Although a variety of methods are available to measure animal colours, only few focus on chromatophores (specializ...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994029/ https://www.ncbi.nlm.nih.gov/pubmed/32161786 http://dx.doi.org/10.1093/biomethods/bpx003 |
_version_ | 1783493139240058880 |
---|---|
author | Siegenthaler, Andjin Mondal, Debapriya Benvenuto, Chiara |
author_facet | Siegenthaler, Andjin Mondal, Debapriya Benvenuto, Chiara |
author_sort | Siegenthaler, Andjin |
collection | PubMed |
description | The study of animal colouration addresses fundamental and applied aspects relevant to a wide range of fields, including behavioural ecology, environmental adaptation and visual ecology. Although a variety of methods are available to measure animal colours, only few focus on chromatophores (specialized cells containing pigments) and pigment migration. Here, we illustrate a freely available and user-friendly method to quantify pigment cover (PiC) with high precision and low effort using digital images, where the foreground (i.e. pigments in chromatophores) can be detected and separated from the background. Images of the brown shrimp, Crangon crangon, were used to compare PiC with the traditional Chromatophore Index (CI). Results indicate that PiC outcompetes CI for pigment detection and transparency measures in terms of speed, accuracy and precision. The proposed methodology provides researchers with a useful tool to answer essential physiological, behavioural and evolutionary questions on animal colouration in a wide range of species. |
format | Online Article Text |
id | pubmed-6994029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69940292020-03-11 Quantifying pigment cover to assess variation in animal colouration Siegenthaler, Andjin Mondal, Debapriya Benvenuto, Chiara Biol Methods Protoc Methods Manuscript The study of animal colouration addresses fundamental and applied aspects relevant to a wide range of fields, including behavioural ecology, environmental adaptation and visual ecology. Although a variety of methods are available to measure animal colours, only few focus on chromatophores (specialized cells containing pigments) and pigment migration. Here, we illustrate a freely available and user-friendly method to quantify pigment cover (PiC) with high precision and low effort using digital images, where the foreground (i.e. pigments in chromatophores) can be detected and separated from the background. Images of the brown shrimp, Crangon crangon, were used to compare PiC with the traditional Chromatophore Index (CI). Results indicate that PiC outcompetes CI for pigment detection and transparency measures in terms of speed, accuracy and precision. The proposed methodology provides researchers with a useful tool to answer essential physiological, behavioural and evolutionary questions on animal colouration in a wide range of species. Oxford University Press 2017-03-27 /pmc/articles/PMC6994029/ /pubmed/32161786 http://dx.doi.org/10.1093/biomethods/bpx003 Text en © The Author 2017. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Manuscript Siegenthaler, Andjin Mondal, Debapriya Benvenuto, Chiara Quantifying pigment cover to assess variation in animal colouration |
title | Quantifying pigment cover to assess variation in animal colouration |
title_full | Quantifying pigment cover to assess variation in animal colouration |
title_fullStr | Quantifying pigment cover to assess variation in animal colouration |
title_full_unstemmed | Quantifying pigment cover to assess variation in animal colouration |
title_short | Quantifying pigment cover to assess variation in animal colouration |
title_sort | quantifying pigment cover to assess variation in animal colouration |
topic | Methods Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994029/ https://www.ncbi.nlm.nih.gov/pubmed/32161786 http://dx.doi.org/10.1093/biomethods/bpx003 |
work_keys_str_mv | AT siegenthalerandjin quantifyingpigmentcovertoassessvariationinanimalcolouration AT mondaldebapriya quantifyingpigmentcovertoassessvariationinanimalcolouration AT benvenutochiara quantifyingpigmentcovertoassessvariationinanimalcolouration |