Evidence map›Paper›PMID 42529355›Full record

ArticleChemical & biomedical imaging2026

A Hierarchical Etched Grid for Correlative Chemical Imaging.

Natalie S W Arigundiya, Jake Brooks, Peter Sykes, Seojin Lee, Naomi P Visanji, Christopher M Morris, Kalotina Geraki, Joanna F Collingwood

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 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. Bioimaging of Metals.Chemical & biomedical imaging · 2026
    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

8 authors.

Natalie S W ArigundiyaAnalytical Science Centre for Doctoral Training, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0009-0007-4223-4648
Jake BrooksSchool of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0000-0002-4035-0369
Peter SykesRutherford Appleton Laboratory, Scitech Precision Limited, Harwell Science and Innovation Campus, Didcot OX11 0QX, United Kingdom.
Seojin LeeTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario M5T 0S8, Canada.
Naomi P VisanjiTanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario M5T 0S8, Canada.
Christopher M MorrisNewcastle Brain Tissue Resource, Institute of Neuroscience, Newcastle University, Newcastle-upon-Tyne NE4 5PL, United Kingdom.
Kalotina GerakiDiamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
Joanna F CollingwoodSchool of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID https://orcid.org/0000-0002-8423-4183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Correlative microscopy linking synchrotron X-ray fluorescence (SXRF) with optical imaging is valuable for contextualizing chemical element distributions in biology. The spatial correlation necessary to achieve this presents fundamental challenges and can be a significant constraint on accuracy and data interpretation. We present a technical solution based on a finder grid concept, optimized for SXRF correlative studies of metals in biological tissues, with scope for wider adaptation and application. A hierarchically patterned fiducial system was directly etched onto spectroscopically clean quartz substrates via femtosecond laser ablation. This design enables improved correlation among SXRF, optical imaging, and histological staining over a greater range of length scales than conventional registration methods such as the use of tissue architecture from serial sections and the use of electron-microscopy-resolution finder grids and applied fiduciary markers that can introduce XRF-signal-dominating levels of elements such as copper, nickel, gold, and titanium. We present two quartz finder grid formats: a microgrid and a nanogrid design. We demonstrate their utility for rapid ROI relocalization and same-section correlative workflows using human brain tissue. The etched quartz finder grid approach facilitates rapid and reproducible ROI relocalization and alignment across instruments, particularly where integral fiducial markers are sparse or ambiguous.

Indexed as

biomedical imagingcorrelative microscopyfemtosecond laser etchingmetallomicsnondestructivesynchrotron X-ray fluorescencetrace metal analysis

Identifiers

PMID42529355
PMCPMC13417510

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.