Hyperspectral imaging in animal coloration research: A user-friendly pipeline for image generation, analysis, and integration with 3D modeling

Benedict G. Hogan, Mary Caswell Stoddard

Open source

DOI: 10.1371/journal.pbio.3002867
Published: 2024-12-03
Container: PLOS Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pbio.3002867,
  title = {Hyperspectral imaging in animal coloration research: A user-friendly pipeline for image generation, analysis, and integration with 3D modeling},
  author = {Benedict G. Hogan and Mary Caswell Stoddard},
  year = {2024},
  journal = {PLOS Biology},
  doi = {10.1371/journal.pbio.3002867},
  url = {https://doi.org/10.1371/journal.pbio.3002867}
}

RIS

TY  - JOUR
TI  - Hyperspectral imaging in animal coloration research: A user-friendly pipeline for image generation, analysis, and integration with 3D modeling
AU  - Benedict G. Hogan
AU  - Mary Caswell Stoddard
PY  - 2024
JO  - PLOS Biology
DO  - 10.1371/journal.pbio.3002867
UR  - https://doi.org/10.1371/journal.pbio.3002867
ER  -

APA

Hogan, B. G., & Stoddard, M. C. (2024). Hyperspectral imaging in animal coloration research: A user-friendly pipeline for image generation, analysis, and integration with 3D modeling. PLOS Biology. https://doi.org/10.1371/journal.pbio.3002867

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crossref · retrieved 2026-09-25T11:54:55.469Z