Evidence map›Paper›PMID 31495562›Full record

ReviewCurrent opinion in structural biology2019

Soft X-ray tomography: virtual sculptures from cell cultures.

Jessica Guo, Carolyn A Larabell

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Review
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  15. Super-Resolution Radial Fluctuations (SRRF) Microscopy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. 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

2 authors.

Jessica GuoDepartment of Anatomy, School of Medicine, University of California San Francisco, San Francisco, CA 94158, United States; National Center for X-ray Tomography, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Carolyn A LarabellDepartment of Anatomy, School of Medicine, University of California San Francisco, San Francisco, CA 94158, United States; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States; National Center for X-ray Tomography, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States. Electronic address: Carolyn.Larabell@ucsf.edu.

Funding

TrainingP41GM103445 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2012 to 2019
$8.2M
Deciphering nuclear bodies and compartments that govern singular olfactory receptor expression.U01DA040582 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BROWN, LEWIS M., LOMVARDAS, STAVROS · 2015 to 2019
$3.2M
NIDA NIH HHS U01 DA040582NIGMS NIH HHS P41 GM103445
6 · The paper itself

Abstract

Cellular complexity is represented best in high-spatial resolution, three-dimensional (3D) reconstructions. Soft X-ray tomography (SXT) generates detailed volumetric reconstructions of cells preserved in a near-to-native, frozen-hydrated state. SXT is broadly applicable and can image specimens ranging from bacteria to large mammalian cells. As a reference, we summarize light and electron microscopic methods. We then present an overview of SXT and discuss its role in cellular imaging. We detail the methods used to image biological specimens and present recent highlights that illustrate the capabilities of the technique. We conclude by discussing correlative imaging, specifically the combination of SXT and fluorescence microscopy performed on the same specimen. This correlated approach combines the structural morphology of a cell with its physiological characteristics to build a deeply informative composite view.

Indexed as

AnimalsCells, CulturedHumansImage Processing, Computer-AssistedTomography, X-Ray

Identifiers

PMID31495562
PMCPMC6791522

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.