Evidence map›Paper›PMID 30952801›Full record

ReviewBiochemical Society transactions2019

Imaging cell morphology and physiology using X-rays.

Venera Weinhardt, Jian-Hua Chen, Axel Ekman, Gerry McDermott, Mark A Le Gros, Carolyn Larabell

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Axial X-Ray Microscopy in Nanotomography.Tomography (Ann Arbor, Mich.) · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Dose-efficient scanning Compton X-ray microscopy.Light, science & applications · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. In-cell Solid-State NMR Studies of Antimicrobial Peptides.Frontiers in medical technology · 2020
    Review
  18. 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

6 authors.

Venera WeinhardtMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A.ORCID 0000-0002-9774-3833
Jian-Hua ChenMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A.
Axel EkmanMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A.
Gerry McDermottMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A.
Mark A Le GrosMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A.
Carolyn LarabellMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A. carolyn.larabell@ucsf.edu.ORCID 0000-0002-6262-4789

Funding

TrainingP41GM103445 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2012 to 2019
$8.2M
NIGMS NIH HHS P41 GM103445
6 · The paper itself

Abstract

Morphometric measurements, such as quantifying cell shape, characterizing sub-cellular organization, and probing cell-cell interactions, are fundamental in cell biology and clinical medicine. Until quite recently, the main source of morphometric data on cells has been light- and electron-based microscope images. However, many technological advances have propelled X-ray microscopy into becoming another source of high-quality morphometric information. Here, we review the status of X-ray microscopy as a quantitative biological imaging modality. We also describe the combination of X-ray microscopy data with information from other modalities to generate polychromatic views of biological systems. For example, the amalgamation of molecular localization data, from fluorescence microscopy or spectromicroscopy, with structural information from X-ray tomography. This combination of data from the same specimen generates a more complete picture of the system than that can be obtained by a single microscopy method. Such multimodal combinations greatly enhance our understanding of biology by combining physiological and morphological data to create models that more accurately reflect the complexities of life.

Indexed as

HumansMicroscopy, ElectronMicroscopy, FluorescenceMultimodal ImagingTomography, X-Raycell structureimagingX-ray tomography

Identifiers

PMID30952801
PMCPMC6716605

What OpenQuestion holds

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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.