Evidence map›Paper›PMID 41712206›Full record

ArticleMedical physics2026

Multi-contrast X-ray microtomography of human lung specimens with an extended field-of-view.

Harry Allan, Adam Doherty, Carlos Navarrete-León, Oriol Roche I Morgó, Yunpeng Jia, Charlotte Percival, Zoe Hagel, Kate E J Otter, Chuen Ryan Khaw, Kate Hc Gowers and 7 more

Abstract read
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In one paragraph

Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Harry AllanDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Adam DohertyDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Carlos Navarrete-LeónDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Oriol Roche I MorgóDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Yunpeng JiaDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Charlotte PercivalUCL Respiratory, University College London, London, UK.
Zoe HagelUCL Respiratory, University College London, London, UK.
Kate E J OtterUCL Respiratory, University College London, London, UK.
Chuen Ryan KhawUCL Respiratory, University College London, London, UK.
Kate Hc GowersUCL Respiratory, University College London, London, UK.
Helen HallUCL Respiratory, University College London, London, UK.
Sam M JanesUCL Respiratory, University College London, London, UK.
Fleur MonkDepartment of Cellular Pathology, University College London Hospitals NHS Foundation Trust, London, UK.
David MooreDepartment of Cellular Pathology, University College London Hospitals NHS Foundation Trust, London, UK.
Ryoko EgashiraHawkes Institute, University College London, London, UK.
Joseph JacobUCL Respiratory, University College London, London, UK.
Marco EndrizziDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.

Funding

CRUK C11496/A30025CRUK EDDCPGM/100002EPSRC EP/S021930/1EPSRC EP/T02593X/1EPSRC EP/V035932/1MRC Programme MR/W025051/1Wellcome Trust 221367/Z/20/ZWellcome Trust CC0102
6 · The paper itself

Abstract

backgroundPhase-based X-ray microtomography is a powerful technique capable of quantitative volumetric imaging of lung tissue in health and disease. The maximum sample size is however limited by the fixed sizes of detectors and optical elements. Thus while high-resolution imaging can offer valuable microscale insights, it can be difficult to interpret without the context of the surrounding tissue. We propose a multi-contrast and multi-scale approach, combined with an offset geometry to extend the field-of-view (FOV). PURPOSE: FOV limitations make it a challenge to simultaneously achieve high spatial-resolution and image large samples. Our method doubles the possible FOV achievable for a given spatial-resolution, in a way compatible with multiple scales and imaging systems.

methodsMulti-contrast whole sample volumetric images are acquired using a beam-tracking X-ray phase-contrast imaging(XPCI) system. Following this, a section of the same sample is imaged at higher resolution using an X-ray microscope with propagation-based imaging. The FOV of both methods is doubled using an offset center-of-rotation geometry, followed by weighted analytical reconstruction.

resultsWe present exemplary multi-contrast reconstructions of resected human lung tissue at 10.5

conclusionsWe demonstrate a versatile method to image large samples without sacrificing spatial-resolution. This method is directly compatible with complementary implementations of XPCI, and is easily adapted to a range of other systems.

Indexed as

LungX-Ray MicrotomographyHumansImage Processing, Computer-AssistedImaging, Three-Dimensionalmulti‐scale imagingvirtual histologyX‐ray phase‐contrast

Identifiers

PMID41712206
PMCPMC12919702

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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.