Evidence map›Paper›PMID 30653713›Full record

ArticleJournal of morphology2019

A comprehensive and user-friendly framework for 3D-data visualisation in invertebrates and other organisms.

Thomas L Semple, Rod Peakall, Nikolai J Tatarnic

Abstract read
In one paragraph

Article in Journal of morphology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Visualization of insect metamorphosis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  11. Article
  12. 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

3 authors.

Thomas L SempleDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Acton, Australia.ORCID 0000-0003-2291-8034
Rod PeakallDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Acton, Australia.ORCID 0000-0001-9407-8404
Nikolai J TatarnicDepartment of Terrestrial Zoology, Western Australian Museum, Perth, Western Australia, Australia.ORCID 0000-0001-8641-4412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods for 3D-imaging of biological samples are experiencing unprecedented development, with tools such as X-ray micro-computed tomography (μCT) becoming more accessible to biologists. These techniques are inherently suited to small subjects and can simultaneously image both external and internal morphology, thus offering considerable benefits for invertebrate research. However, methods for visualising 3D-data are trailing behind the development of tools for generating such data. Our aim in this article is to make the processing, visualisation and presentation of 3D-data easier, thereby encouraging more researchers to utilise 3D-imaging. Here, we present a comprehensive workflow for manipulating and visualising 3D-data, including basic and advanced options for producing images, videos and interactive 3D-PDFs, from both volume and surface-mesh renderings. We discuss the importance of visualisation for quantitative analysis of invertebrate morphology from 3D-data, and provide example figures illustrating the different options for generating 3D-figures for publication. As more biology journals adopt 3D-PDFs as a standard option, research on microscopic invertebrates and other organisms can be presented in high-resolution 3D-figures, enhancing the way we communicate science.

Indexed as

Imaging, Three-DimensionalAnimalsFemaleInvertebratesX-Ray MicrotomographyBlendercomputed tomographyDrishtiMeshlabPDF

Identifiers

PMID30653713
PMCPMC6590182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.