Evidence map›Paper›PMID 34845280›Full record

ArticleScientific reports2021

Fast acquisition protocol for X-ray scattering tensor tomography.

Jisoo Kim, Matias Kagias, Federica Marone, Zhitian Shi, Marco Stampanoni

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Recent developments in X-ray diffraction/scattering computed tomography for materials science.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jisoo KimInstitute for Biomedical Engineering, University and ETH Zürich, 8092, Zurich, Switzerland.
Matias KagiasSwiss Light Source, Paul Scherrer Institut, 5232, Villigen, Switzerland. mkagias@caltech.edu.
Federica MaroneSwiss Light Source, Paul Scherrer Institut, 5232, Villigen, Switzerland. federica.marone@psi.ch.
Zhitian ShiInstitute for Biomedical Engineering, University and ETH Zürich, 8092, Zurich, Switzerland.
Marco StampanoniInstitute for Biomedical Engineering, University and ETH Zürich, 8092, Zurich, Switzerland.

Funding

EU H2020 Marie Skłodowska-Curie Actions MUMMERING 76560Eurostars Informat E! 11060
6 · The paper itself

Abstract

Microstructural information over an entire sample is important to understand the macroscopic behaviour of materials. X-ray scattering tensor tomography facilitates the investigation of the microstructural organisation in statistically large sample volumes. However, established acquisition protocols based on scanning small-angle X-ray scattering and X-ray grating interferometry inherently require long scan times even with highly brilliant X-ray sources. Recent developments in X-ray diffractive optics towards circular pattern arrays enable fast single-shot acquisition of the sample scattering properties with 2D omnidirectional sensitivity. X-ray scattering tensor tomography with the use of this circular grating array has been demonstrated. We propose here simple yet inherently rapid acquisition protocols for X-ray scattering tensor tomography leveraging on these new optical elements. Results from both simulation and experimental data, supported by a null space analysis, suggest that the proposed acquisition protocols are not only rapid but also corroborate that sufficient information for the accurate volumetric reconstruction of the scattering properties is provided. The proposed acquisition protocols will build the basis for rapid inspection and/or time-resolved tensor tomography of the microstructural organisation over an extended field of view.

Identifiers

PMID34845280
PMCPMC8629987

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.