Evidence map›Paper›PMID 39441808›Full record

ArticlePloS one2024

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

Aurore Mathys, Yann Pollet, Adrien Gressin, Xavier Muth, Jonathan Brecko, Wouter Dekoninck, Didier Vandenspiegel, Sébastien Jodogne, Patrick Semal

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Aurore MathysScientific Service of Heritage, Royal Belgian Institute of Natural Sciences, Brussels, Belgium.ORCID 0000-0002-3884-4853
Yann PolletScientific Service of Heritage, Royal Belgian Institute of Natural Sciences, Brussels, Belgium.
Adrien GressinSchool of Engineering and Management Vaud, HES-SO University of Applied Sciences and Art Western, Yverdon-les-Bains, Switzerland.ORCID 0009-0003-8422-5230
Xavier MuthSchool of Engineering and Management Vaud, HES-SO University of Applied Sciences and Art Western, Yverdon-les-Bains, Switzerland.
Jonathan BreckoScientific Service of Heritage, Royal Belgian Institute of Natural Sciences, Brussels, Belgium.ORCID 0000-0002-2969-4566
Wouter DekoninckScientific Service of Heritage, Royal Belgian Institute of Natural Sciences, Brussels, Belgium.
Didier VandenspiegelCollections Management, Royal Museum for Central Africa, Tervuren, Belgium.
Sébastien JodogneInstitute of Information and Communication, Technologies Electronics and Applied Mathematics (ICTEAM), UCLouvain, Louvain-la-Neuve, Belgium.ORCID 0000-0001-6685-7398
Patrick SemalScientific Service of Heritage, Royal Belgian Institute of Natural Sciences, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ArthropodsImaging, Three-DimensionalAnimalsSoftwareX-Ray Microtomography

Identifiers

PMID39441808
PMCPMC11498740

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.