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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.
Afiliação
  • Chan WP; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA. chanw@g.harvard.edu.
  • Rabideau Childers R; Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA. chanw@g.harvard.edu.
  • Ashe S; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
  • Tsai CC; Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA.
  • Elson C; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
  • Keleher KJ; Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA.
  • Sipe RLH; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
  • Maier CA; Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA.
  • Sourakov A; Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
  • Gall LF; Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA.
  • Bernard GD; Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA.
  • Soucy ER; McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.
  • Yu N; Computer Systems Office & Division of Entomology, Peabody Museum of Natural History, Yale University, New Haven, CT, USA.
  • Pierce NE; Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.
Commun Biol ; 5(1): 1318, 2022 12 01.
Article em En | MEDLINE | ID: mdl-36456867
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros / Museus Idioma: En Revista: Commun Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros / Museus Idioma: En Revista: Commun Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos