Evidence map›Paper›PMID 42062343›Full record

ArticleScientific reports2026

Laboratory spectral X-ray tomography for the differentiation of common rock-forming minerals.

K Kularatne, O Darouich, P Sénéchal, P Moonen, H Derluyn

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

5 authors.

K KularatneUniversite de Pau et des Pays de l'Adour, CNRS, LFCR, Pau, France.
O DarouichUniversite de Pau et des Pays de l'Adour, CNRS, DMEX, Pau, France.
P SénéchalUniversite de Pau et des Pays de l'Adour, CNRS, DMEX, Pau, France.
P MoonenUniversite de Pau et des Pays de l'Adour, CNRS, LFCR, Pau, France. peter.moonen@univ-pau.fr.
H DerluynUniversite de Pau et des Pays de l'Adour, CNRS, LFCR, Pau, France.

Funding

ANR ANR-21-PRRD-0059-01ANR through E2S UPPA ANR-16-IDEX-0002Horizon 2020 Framework Programme No 850853
6 · The paper itself

Abstract

Conventional X-ray micro computed tomography (micro-CT) is widely used for non-invasive 3D material characterization, yet differentiating between the material constituents can be challenging. This is notably the case when characterizing rocks from the Earth's crust. About 95% of them is composed of a mixture of common rock-forming minerals, many of which are indistinguishable with conventional micro-CT. We overcome this limitation by combining laboratory spectral micro computed tomography (sp-CT) with an astute analysis workflow. Where previous studies showed laboratory sp-CT's potential for identifying heavy elements, we focus on the light-element-bearing minerals that do not feature characteristic absorption edges within the detectable energy range of state-of-the art spectral detectors. For a natural monzo-diorite sample, we show that those minerals appear as separate clusters on a multi-energy histogram derived from a laboratory sp-CT tomogram. Selecting a particular cluster is equivalent to segmenting the corresponding constituent. The segmented phases were corroborated by scanning electron microscopy and Raman spectroscopy. The presented workflow is applicable to any multi-component material. Specifically, for the Earth Sciences, it breaks the barrier to analyse a variety of silicate-bearing rocks, their minerals, structures and reactions in three dimensions, non-invasively in the laboratory.

Indexed as

Linear attenuation coefficientMulti-energy histogramRock-forming mineralsSegmentationX-ray micro-tomographyX-ray spectral tomography

Identifiers

PMID42062343
PMCPMC13319440

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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.