Evidence map›Paper›PMID 32103752›Full record

ReviewBMC biology2020

X-ray computed tomography in life sciences.

Shelley D Rawson, Jekaterina Maksimcuka, Philip J Withers, Sarah H Cartmell

Abstract readReview
In one paragraph

Review in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. TiONanomaterials (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Article
  7. Super Time-Resolved Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

4 authors.

Shelley D RawsonThe Henry Royce Institute and School of Materials, The University of Manchester, Manchester, M13 9PL, UK.
Jekaterina MaksimcukaThe Henry Royce Institute and School of Materials, The University of Manchester, Manchester, M13 9PL, UK.
Philip J WithersThe Henry Royce Institute and School of Materials, The University of Manchester, Manchester, M13 9PL, UK.
Sarah H CartmellThe Henry Royce Institute and School of Materials, The University of Manchester, Manchester, M13 9PL, UK. sarah.cartmell@manchester.ac.uk.

Funding

Medical Research Council EP/L014904/1
6 · The paper itself

Abstract

Recent developments within micro-computed tomography (μCT) imaging have combined to extend our capacity to image tissue in three (3D) and four (4D) dimensions at micron and sub-micron spatial resolutions, opening the way for virtual histology, live cell imaging, subcellular imaging and correlative microscopy. Pivotal to this has been the development of methods to extend the contrast achievable for soft tissue. Herein, we review the new capabilities within the field of life sciences imaging, and consider how future developments in this field could further benefit the life sciences community.

Indexed as

AnimalsBiological Science DisciplinesHumansMiceRatsTomography, X-Ray Computed3D histology3D imagingCorrelative microscopyElemental mappingLightsheetPhase contrastQuantitative tomographyTime-lapse tomographyWater windowX-ray computed tomography

Identifiers

PMID32103752
PMCPMC7045626

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.