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A high-throughput multispectral imaging system for museum specimens

We present an economical imaging system with integrated hardware and software to capture multispectral images of Lepidoptera with high efficiency. This method facilitates the comparison of colors and shapes among species at fine and broad taxonomic scales and may be adapted for other insect orders w...

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Autores principales: Chan, Wei-Ping, Rabideau Childers, Richard, Ashe, Sorcha, Tsai, Cheng-Chia, Elson, Caroline, Keleher, Kirsten J., Sipe, Rachel L. Hawkins, Maier, Crystal A., Sourakov, Andrei, Gall, Lawrence F., Bernard, Gary D., Soucy, Edward R., Yu, Nanfang, Pierce, Naomi E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715708/
https://www.ncbi.nlm.nih.gov/pubmed/36456867
http://dx.doi.org/10.1038/s42003-022-04282-z
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author Chan, Wei-Ping
Rabideau Childers, Richard
Ashe, Sorcha
Tsai, Cheng-Chia
Elson, Caroline
Keleher, Kirsten J.
Sipe, Rachel L. Hawkins
Maier, Crystal A.
Sourakov, Andrei
Gall, Lawrence F.
Bernard, Gary D.
Soucy, Edward R.
Yu, Nanfang
Pierce, Naomi E.
author_facet Chan, Wei-Ping
Rabideau Childers, Richard
Ashe, Sorcha
Tsai, Cheng-Chia
Elson, Caroline
Keleher, Kirsten J.
Sipe, Rachel L. Hawkins
Maier, Crystal A.
Sourakov, Andrei
Gall, Lawrence F.
Bernard, Gary D.
Soucy, Edward R.
Yu, Nanfang
Pierce, Naomi E.
author_sort Chan, Wei-Ping
collection PubMed
description We present an economical imaging system with integrated hardware and software to capture multispectral images of Lepidoptera with high efficiency. This method facilitates the comparison of colors and shapes among species at fine and broad taxonomic scales and may be adapted for other insect orders with greater three-dimensionality. Our system can image both the dorsal and ventral sides of pinned specimens. Together with our processing pipeline, the descriptive data can be used to systematically investigate multispectral colors and shapes based on full-wing reconstruction and a universally applicable ground plan that objectively quantifies wing patterns for species with different wing shapes (including tails) and venation systems. Basic morphological measurements, such as body length, thorax width, and antenna size are automatically generated. This system can increase exponentially the amount and quality of trait data extracted from museum specimens.
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spelling pubmed-97157082022-12-03 A high-throughput multispectral imaging system for museum specimens Chan, Wei-Ping Rabideau Childers, Richard Ashe, Sorcha Tsai, Cheng-Chia Elson, Caroline Keleher, Kirsten J. Sipe, Rachel L. Hawkins Maier, Crystal A. Sourakov, Andrei Gall, Lawrence F. Bernard, Gary D. Soucy, Edward R. Yu, Nanfang Pierce, Naomi E. Commun Biol Article We present an economical imaging system with integrated hardware and software to capture multispectral images of Lepidoptera with high efficiency. This method facilitates the comparison of colors and shapes among species at fine and broad taxonomic scales and may be adapted for other insect orders with greater three-dimensionality. Our system can image both the dorsal and ventral sides of pinned specimens. Together with our processing pipeline, the descriptive data can be used to systematically investigate multispectral colors and shapes based on full-wing reconstruction and a universally applicable ground plan that objectively quantifies wing patterns for species with different wing shapes (including tails) and venation systems. Basic morphological measurements, such as body length, thorax width, and antenna size are automatically generated. This system can increase exponentially the amount and quality of trait data extracted from museum specimens. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9715708/ /pubmed/36456867 http://dx.doi.org/10.1038/s42003-022-04282-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chan, Wei-Ping
Rabideau Childers, Richard
Ashe, Sorcha
Tsai, Cheng-Chia
Elson, Caroline
Keleher, Kirsten J.
Sipe, Rachel L. Hawkins
Maier, Crystal A.
Sourakov, Andrei
Gall, Lawrence F.
Bernard, Gary D.
Soucy, Edward R.
Yu, Nanfang
Pierce, Naomi E.
A high-throughput multispectral imaging system for museum specimens
title A high-throughput multispectral imaging system for museum specimens
title_full A high-throughput multispectral imaging system for museum specimens
title_fullStr A high-throughput multispectral imaging system for museum specimens
title_full_unstemmed A high-throughput multispectral imaging system for museum specimens
title_short A high-throughput multispectral imaging system for museum specimens
title_sort high-throughput multispectral imaging system for museum specimens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715708/
https://www.ncbi.nlm.nih.gov/pubmed/36456867
http://dx.doi.org/10.1038/s42003-022-04282-z
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