Evidence map›Paper›PMID 42228489›Full record

ArticleJournal of synchrotron radiation2026

Distributed computing for the reconstruction of multi-terabyte tomographic X-ray imaging datasets.

Thorbjørn Erik Køppen Christensen, Frederik Holm Gjørup, Mads Ry Vogel Jørgensen, Adrian Rodriguez-Palomo, Anders Bjorholm Dahl, Innokenty Kantor

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

6 authors.

Thorbjørn Erik Køppen ChristensenDTU Compute, DTU 324, Kongens Lyngby, Denmark.ORCID 0000-0002-0754-6984
Frederik Holm GjørupMAX IV Laboratory, Lund University, Fotongatan 2, Lund, Sweden.ORCID 0000-0003-3902-0247
Mads Ry Vogel JørgensenMAX IV Laboratory, Lund University, Fotongatan 2, Lund, Sweden.ORCID 0000-0001-5507-9615
Adrian Rodriguez-PalomoDepartment of Chemistry and iNANO, Aarhus University, Langelandsgade 140, Aarhus, Denmark.ORCID 0000-0002-5497-4914
Anders Bjorholm DahlDTU Compute, DTU 324, Kongens Lyngby, Denmark.ORCID 0000-0002-0068-8170
Innokenty KantorMAX IV Laboratory, Lund University, Fotongatan 2, Lund, Sweden.ORCID 0000-0001-5132-8354

Funding

Danish Agency for Science and Higher Education 4059-00009BDanish Agency for Science and Higher Education 8144-00002BDanish Agency for Science, Technology and Innovation DanscattHORIZON EUROPE Marie Sklodowska-Curie Actions 101152202Novo Nordisk Fonden 0077698Svenska Forskningsrådet Formas 2019-02496Vetenskapsrådet 208-07152VINNOVA 2018-04969
6 · The paper itself

Abstract

Tomographic datasets have continued to grow in size and volume along with camera technology and synchrotron brilliance. These larger datasets require new methods of distributing the reconstruction process on high-performance computing systems. Here we present a program for reconstructing large datasets, allowing the usage of either CPU- or GPU-powered clusters, and show the successful reconstruction of a 24000 pixel-wide dataset. This program is currently in use at the DanMAX beamline at the MAX IV synchrotron and is used as the default reconstruction method for all tomographic experiments at the beamline. Scans reconstructed with the presented pipeline have been published in multiple journals.

Indexed as

big datamaterials sciencereconstructiontomography

Identifiers

PMID42228489
PMCPMC13344534

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.