Evidence map›Paper›PMID 36037163›Full record

ArticlePloS one2022

X-ray directional dark-field imaging using Unified Modulated Pattern Analysis.

Ronan Smith, Fabio De Marco, Ludovic Broche, Marie-Christine Zdora, Nicholas W Phillips, Richard Boardman, Pierre Thibault

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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.

Ronan SmithFaculty of Engineering and Physics Sciences, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-5748-9295
Fabio De MarcoDepartment of Physics, University of Trieste, Trieste, Italy.
Ludovic BrocheEuropean Synchrotron Radiation Facility, Grenoble, France.
Marie-Christine ZdoraPaul Scherrer Institut, Villigen, Switzerland.ORCID 0000-0001-6953-6709
Nicholas W PhillipsPaul Scherrer Institut, Villigen, Switzerland.ORCID 0000-0002-9742-7937
Richard BoardmanFaculty of Engineering and Physics Sciences, University of Southampton, Southampton, United Kingdom.
Pierre ThibaultDepartment of Physics, University of Trieste, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray directional dark-field imaging is a recent technique that can reveal a sample's small-scale structural properties which are otherwise invisible in a conventional imaging system. In particular, directional dark-field can detect and quantify the orientation of anisotropic structures. Here, we present an algorithm that allows for the extraction of a directional dark-field signal from X-ray speckle-based imaging data. The experimental setup is simple, as it requires only the addition of a diffuser to a full-field microscope setup. Sandpaper is an appropriate diffuser material in the hard x-ray regime. We propose an approach to extract the mean scattering width, directionality, and orientation from the recorded speckle images acquired with the technique. We demonstrate that our method can detect and quantify the orientation of fibres inside a carbon fibre reinforced polymer (CFRP) sample within one degree of accuracy and show how the accuracy depends on the number of included measurements. We show that the reconstruction parameters can be tuned to increase or decrease accuracy at the expense of spatial resolution.

Indexed as

AlgorithmsRadiographyX-RaysAnisotropy

Identifiers

PMID36037163
PMCPMC9423625

What OpenQuestion holds

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LicenceCC BY
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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.