Evidence map›Paper›PMID 41569795›Full record

ArticleJournal of synchrotron radiation2026

Demonstration of a family of X-ray dark-field retrieval approaches on a common set of samples.

Samantha J Alloo, Ying Ying How, Jannis N Ahlers, David M Paganin, Michelle K Croughan, Kaye S Morgan

Abstract read
In one paragraph

Article in Journal of synchrotron radiation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Samantha J AllooSchool of Physics and Astronomy, Monash University, Australia.ORCID 0000-0002-9502-6128
Ying Ying HowSchool of Physics and Astronomy, Monash University, Australia.ORCID 0000-0001-8568-4736
Jannis N AhlersSchool of Physics and Astronomy, Monash University, Australia.ORCID 0000-0003-0630-1819
David M PaganinSchool of Physics and Astronomy, Monash University, Australia.ORCID 0000-0002-7758-7140
Michelle K CroughanSchool of Physics and Astronomy, Monash University, Australia.ORCID 0000-0001-9345-2345
Kaye S MorganSchool of Physics and Astronomy, Monash University, Australia.ORCID 0000-0001-6997-7977

Funding

Australian Research Council DP230101327Australian Research Council FT18010037
6 · The paper itself

Abstract

There are various imaging setups capable of capturing dark-field images, each with its own capabilities and limitations. Across all these setups, the underlying physical mechanism responsible for dark-field contrast is generally defined similarly: small-angle X-ray scattering from sub-resolution structures, multiple refraction from large resolvable features and/or edge effects. Despite this conceptual consistency, there remains a lack of studies that directly compare different dark-field imaging setups using identical samples. We have recently developed a `family' of dark-field imaging techniques that, although they have different experimental setups, each extract dark-field contrast by directly resolving dark-field-associated local image blurring with a high-resolution camera. In this paper, we provide a qualitative comparison of the capabilities of this family of methods, covering both different experimental acquisition methods and image-retrieval algorithms for this subset of dark-field imaging techniques. We acquired X-ray imaging data from two test samples using synchrotron propagation-based, single-grid and speckle-based setups, and retrieved dark-field images from each dataset using an appropriate algorithm. The dark-field retrieval methods differed in their computational framework: single-shot algorithms were applied for the single-grid and speckle-based approaches, an additional multi-exposure method was used for speckle data, and a dual-energy method was applied to the propagation-based data. We find that all approaches successfully retrieve dark-field contrast in microstructure-dense regions, as expected. Differences arise at high-spatial-frequency sample features, such as edges, and some approaches exhibit artefacts. We attribute these differences to variations in experimental parameters (e.g. pixel size, sample-to-detector distance and X-ray energy) and to the algorithmic assumptions underlying each technique (e.g. the single-material assumption and treatment of phase effects). This study aims to guide users of dark-field imaging in selecting the most suitable technique for their imaging goals. To this end, we provide a summary table and highlight opportunities for future research into the sources of dark-field contrast across emerging methods.

Indexed as

propagation-based imagingsingle-grid imagingspeckle-based imagingX-ray dark-field

Identifiers

PMID41569795
PMCPMC12948023

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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.