Sphaeroptica: A tool for pseudo-3D visualization and 3D measurements on arthropods.

Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Original Publication: San Francisco, CA : Public Library of Science

Imaging, Three-Dimensional*/methods ; Arthropods*/anatomy & histology; Animals ; Software ; X-Ray Microtomography/methods

Natural history collections are invaluable reference collections. Digitizing these collections is a transformative process that improves the accessibility, preservation, and exploitation of specimens and associated data in the long term. Arthropods make up the majority of zoological collections. However, arthropods are small, have detailed color textures and share small, complex and shiny structures, which poses a challenge to conventional digitization methods. Sphaeroptica is a multi-images viewer that uses a sphere of oriented images. It allows the visualization of insects including their tiniest features, the positioning of landmarks, and the extraction of 3D coordinates for measuring linear distances or for use in geometric morphometrics analysis. The quantitative comparisons show that the measures obtained with Sphaeroptica are similar to the measurements derived from 3D μCT models with an average difference inferior to 1%, while featuring the high resolution of color stacked pictures with all details like setae, chaetae, scales, and other small and/or complex structures. Shaeroptica was developed for the digitization of small arthropods but it can be used with any sphere of aligned images resulting from the digitization of objects or specimens with complex surface and shining, black, or translucent texture which cannot easily be digitized using structured light scanner or Structure-from-Motion (SfM) photogrammetry.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Mathys et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Comput Biol Med. 2002 Nov;32(6):455-64. (PMID: 12356495)
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PLoS One. 2018 Apr 12;13(4):e0195852. (PMID: 29649299)
PLoS One. 2014 Apr 23;9(4):e94346. (PMID: 24759838)
J Anim Ecol. 2023 Apr;92(4):913-924. (PMID: 36807906)
Zookeys. 2018 May 17;(759):1-27. (PMID: 29853774)
J Digit Imaging. 2018 Jun;31(3):341-352. (PMID: 29725964)
PeerJ. 2021 Apr 12;9:e11155. (PMID: 33954036)

Date Created: 20241023 Date Completed: 20241023 Latest Revision: 20241025

20241025

PMC11498740

10.1371/journal.pone.0311887

39441808