학술논문

A step-by-step method to quantify coloration with digital photography.
Document Type
Academic Journal
Author
Houle C; Département de biologie, Université de Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, Québec, J1K 2R1, Canada.; Turcotte A; Département de biologie, Université d'Ottawa, 30 Marie Curie, Ottawa, Ontario, K1N 6N5, Canada.; Paterson JE; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada, 1 Mallard Bay, Stonewall, Manitoba, R0C 2Z0, Canada.; Blouin-Demers G; Département de biologie, Université d'Ottawa, 30 Marie Curie, Ottawa, Ontario, K1N 6N5, Canada.; Garant D; Département de biologie, Université de Sherbrooke, 2500 boulevard de l'Université, Sherbrooke, Québec, J1K 2R1, Canada.
Source
Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101639829 Publication Model: eCollection Cited Medium: Print ISSN: 2215-0161 (Print) Linking ISSN: 22150161 NLM ISO Abbreviation: MethodsX Subsets: PubMed not MEDLINE
Subject
Language
English
ISSN
2215-0161
Abstract
Coloration is often used in biological studies, for example when studying social signaling or antipredator defense. Yet, few detailed and standardized methods are available to measure coloration using digital photography. Here we provide a step-by-step guide to help researchers quantify coloration from digital images. We first identify the do's and don'ts of taking pictures for coloration analysis. We then describe how to i) extract reflectance values with the software ImageJ; ii) fit and apply linearization equations to reflectance values; iii) scale and select the areas of interest in ImageJ; iv) standardize pictures; and v) binarize and measure the proportion of different colors in an area of interest. We apply our methodological protocol to digital pictures of painted turtles ( Chrysemys picta ), but the approach could be easily adapted to any species. More specifically, we wished to calculate the proportion of red and yellow on the neck and head of turtles. With this protocol, our main aims are to make coloration analyses with digital photography:•More accessible to researchers without a background in photography.•More consistent between studies.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2024 The Authors. Published by Elsevier B.V.)