Evidence map›Paper›PMID 41712663›Full record

ArticleJournal of synchrotron radiation2026

High-energy synchrotron X-ray multimodal computed tomography: enabling multiscale materials characterization at NSLS-II.

Mehmet Topsakal, Daniel O'Nolan, Michael Drakopoulos, Jianming Bai, Eric Dooryhee, Simerjeet K Gill, Sanjit Ghose

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. 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.

Mehmet TopsakalNuclear Science and Security, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0000-0002-7880-0740
Daniel O'NolanRTI International, Research Triangle Park, NC 27709, USA.ORCID 0000-0003-1798-3704
Michael DrakopoulosNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0009-0007-5890-0764
Jianming BaiNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0000-0002-0575-2987
Eric DooryheeUniv. Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering), Institut Néel, 38000 Grenoble, France.ORCID 0000-0001-9705-8118
Simerjeet K GillNuclear Science and Security, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0000-0003-4955-4509
Sanjit GhoseNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0000-0003-0245-8560

Funding

National Science Foundation CBET-2019435Office of Nuclear Energy AC07-051D14517Office of Science DESC0012704
6 · The paper itself

Abstract

We report the commissioning of a multimodal computed tomography experimental setup at the 28-ID-2 (XPD) beamline of the National Synchrotron Light Source II. This high-energy (>60 keV) resource features a tunable X-ray beam size ranging from several millimetres to a few micrometres and enables comprehensive characterization of high-Z materials-an essential capability for nuclear and advanced materials research. It provides four complementary computed tomography modalities: X-ray absorption, X-ray fluorescence, X-ray diffraction, and pair distribution function tomography. A case study using a custom-made heterogeneous sample demonstrates these abilities to simultaneously capture atomic, elemental, and morphological information. This unique combination of imaging, structural, and chemical sensitive methods provides a holistic approach to study complex materials with amorphous and crystalline systems across multiple length scales.

Indexed as

computed tomographynuclear materialstotal scatteringX-ray diffractionX-ray fluorescenceX-ray imaging

Identifiers

PMID41712663
PMCPMC12948018

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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.