A high-throughput multispectral imaging system for museum specimens
Creators
- 1. Harvard University
- 2. Columbia University
- 3. Cornell University
- 4. Florida Museum of Natural History
- 5. Yale Peabody Museum
- 6. University of Washington
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.
Notes
The pipeline was mainly developed under Matlab and R, but the data formats (e.g. *.mat, *.json) can still be operated in Python or other interface.
Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: PHY-1411123
Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DEB-0447242
Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: PHY-1411445
Funding provided by: Air Force Office of Scientific Research
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000181
Award Number: FA9550-14-1-0389
Funding provided by: Air Force Office of Scientific Research
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000181
Award Number: FA9550-16-1-0322
Files
README.txt
Files
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Additional details
Related works
- Is cited by
- 10.1038/s42003-022-04282-z (DOI)
- Is derived from
- https://github.com/weipingchan/Bash_scripts_methodology_paper (URL)
- https://www.protocols.io/private/2E2FB268F7AF11EBB05F0A58A9FEAC02 (URL)