Evidence map›Paper›PMID 36456867›Full record

ArticleCommunications biology2022

A high-throughput multispectral imaging system for museum specimens.

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 and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Wei-Ping Chan *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA. chanw@g.harvard.edu.ORCID 0000-0002-7132-9191
Richard Rabideau Childers *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-7137-3192
Sorcha Ashe *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Cheng-Chia TsaiDepartment of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA.ORCID 0000-0001-5662-6908
Caroline ElsonDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Kirsten J KeleherDepartment of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA.ORCID 0000-0002-9406-9628
Rachel L Hawkins SipeMuseum of Comparative Zoology, Harvard University, Cambridge, MA, USA.
Crystal A MaierMuseum of Comparative Zoology, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-6435-2775
Andrei SourakovMcGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.
Lawrence F GallComputer Systems Office & Division of Entomology, Peabody Museum of Natural History, Yale University, New Haven, CT, USA.ORCID 0000-0003-0690-0969
Gary D BernardDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7460-5123
Edward R SoucyCenter for Brain Science, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-1187-5596
Nanfang YuDepartment of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA.
Naomi E PierceDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA. npierce@oeb.harvard.edu.ORCID 0000-0003-3366-1625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

MuseumsRecordsPhenotypeSoftware

Identifiers

PMID36456867
PMCPMC9715708

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.