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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9715708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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