A high-throughput multispectral imaging system for museum specimens

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作者
Wei-Ping Chan
Richard Rabideau Childers
Sorcha Ashe
Cheng-Chia Tsai
Caroline Elson
Kirsten J. Keleher
Rachel L. Hawkins Sipe
Crystal A. Maier
Andrei Sourakov
Lawrence F. Gall
Gary D. Bernard
Edward R. Soucy
Nanfang Yu
Naomi E. Pierce
机构
[1] Harvard University,Department of Organismic and Evolutionary Biology
[2] Harvard University,Museum of Comparative Zoology
[3] Columbia University,Department of Applied Physics and Applied Mathematics
[4] North Carolina State University,Department of Forestry and Environmental Resources
[5] Cornell University,Department of Neurobiology and Behavior
[6] University of Florida,McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History
[7] Yale University,Computer Systems Office & Division of Entomology, Peabody Museum of Natural History
[8] University of Washington,Department of Electrical and Computer Engineering
[9] Harvard University,Center for Brain Science
来源
Communications Biology | / 5卷
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摘要
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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