Evidence map›Paper›PMID 25348877›Full record

ArticleScientific reports2014

Mapping biological composition through quantitative phase and absorption X-ray ptychography.

Michael W M Jones, Kirstin Elgass, Mark D Junker, Mac B Luu, Michael T Ryan, Andrew G Peele, Grant A van Riessen

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. X-ray Stain Localization with Near-Field Ptychographic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

7 authors.

Michael W M JonesARC Centre of Excellence for Coherent X-Ray Science, Department of Physics, La Trobe University, Bundoora 3086, Australia.
Kirstin ElgassARC Centre of Excellence for Coherent X-Ray Science, Department of Biochemistry, La Trobe University, Bundoora 3086, Australia.
Mark D JunkerARC Centre of Excellence for Coherent X-Ray Science, Department of Physics, La Trobe University, Bundoora 3086, Australia.
Mac B LuuARC Centre of Excellence for Coherent X-Ray Science, Department of Physics, La Trobe University, Bundoora 3086, Australia.
Michael T RyanARC Centre of Excellence for Coherent X-Ray Science, Department of Biochemistry, La Trobe University, Bundoora 3086, Australia.
Andrew G Peele1] ARC Centre of Excellence for Coherent X-Ray Science, Department of Physics, La Trobe University, Bundoora 3086, Australia [2] Australian Synchrotron, 800 Blackburn Rd, Clayton 3168, Australia [3] ARC Centre of Excellence for Advanced Molecular Imaging, Australian Synchrotron, 800 Blackburn Rd, Clayton 3168, Australia.
Grant A van RiessenARC Centre of Excellence for Coherent X-Ray Science, Department of Physics, La Trobe University, Bundoora 3086, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isolating compositional information in biological X-ray imaging can be problematic as such information is conflated with thickness and density variations when viewing in projection through a sample. We demonstrate an effective method for identifying variations in material composition by simultaneously using the quantitative phase and magnitude images provided through soft X-ray ptychography. Using this approach we show significantly increased contrast and improved reliability of the identification of intracellular features from uncharacterised samples. While demonstrated for X-ray ptychography, this method is immediately applicable to electron and optical microscopy methods where the complex transmission function of the sample is recovered.

Indexed as

Molecular ImagingAnimalsCell TrackingContrast MediaElectronsFibroblastsMiceMicroscopyX-RaysContrast Media

Identifiers

PMID25348877
PMCPMC4210942

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.