Evidence map›Paper›PMID 42835495›Full record

ArticleJournal of applied crystallography2026

Faster and targeted raster imaging through non-rectangular scanning.

Frederik H Gjørup, Thorbjørn E K Christensen, Yimeng Li, Marcelo J P Alcocer, Henrik Birkedal, Innokenty Kantor, Mads R V Jørgensen

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Frederik H GjørupDepartment of Chemistry and iNANO Aarhus University Langelandsgade Aarhus 8000 Denmark.
Thorbjørn E K ChristensenMAX IV Laboratory Lund University Fotongatan 2 221 00 Lund Sweden.ORCID https://orcid.org/0000-0002-0754-6984
Yimeng LiMAX IV Laboratory Lund University Fotongatan 2 221 00 Lund Sweden.ORCID https://orcid.org/0000-0003-3089-3877
Marcelo J P AlcocerMAX IV Laboratory Lund University Fotongatan 2 221 00 Lund Sweden.ORCID https://orcid.org/0000-0002-6600-1335
Henrik BirkedalDepartment of Chemistry and iNANO Aarhus University Langelandsgade Aarhus 8000 Denmark.ORCID https://orcid.org/0000-0002-4201-2179
Innokenty KantorMAX IV Laboratory Lund University Fotongatan 2 221 00 Lund Sweden.ORCID https://orcid.org/0000-0001-5132-8354
Mads R V JørgensenDepartment of Chemistry and iNANO Aarhus University Langelandsgade Aarhus 8000 Denmark.ORCID https://orcid.org/0000-0001-5507-9615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many materials are spatially heterogenous and it is important to characterize this heterogeneity, which can be done by scanning microbeam X-ray diffraction (µXRD) or X-ray fluorescence (µXRF) microscopy. A modified approach to raster scanning is presented, where each line in a raster scan is of varying length, allowing for efficient scanning of non-rectangular areas. This shortens the measurement time significantly and similarly reduces the large amount of data generated from the area outside the sample that is normally produced for non-rectangular samples. The scanning procedure has been implemented for µ-X-ray diffraction and fluorescence mapping at the DanMAX diffraction beamline at MAX IV, Sweden. It was found that the reduction in required measurement time was nearly proportional to the reduction in scanned area, a significant reduction for non-rectangular samples. As an example, a section of the dactyl club of a stomatopod specimen (

Indexed as

microbeam X-ray diffractionscanning diffractionsynchrotron radiationXRD imaging

Identifiers

PMID42835495
PMCPMC13636037

What OpenQuestion holds

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Registered trials

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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.