Evidence map›Paper›PMID 36859614›Full record

ReviewNature protocols2023

Preparation of large biological samples for high-resolution, hierarchical, synchrotron phase-contrast tomography with multimodal imaging compatibility.

J Brunet, C L Walsh, W L Wagner, A Bellier, C Werlein, S Marussi, D D Jonigk, S E Verleden, M Ackermann, Peter D Lee and 1 more

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
16.1field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Article
  8. The Human Organ Atlas.Science advances · 2026
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  14. The Human Organ Atlas.bioRxiv : the preprint server for biology · 2025
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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

11 authors at 9 institutions in 4 countries.

J Brunet *Department of Mechanical Engineering, University College London, London, UK. j.brunet@ucl.ac.uk.ORCID http://orcid.org/0000-0002-8424-9510
C L Walsh *Department of Mechanical Engineering, University College London, London, UK. c.walsh.11@ucl.ac.uk.
W L WagnerDepartment of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
A BellierLaboratoire d'Anatomie des Alpes Françaises (LADAF), Université Grenoble Alpes, Grenoble, France.
C WerleinInstitute of Pathology, Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0002-7694-4257
S MarussiDepartment of Mechanical Engineering, University College London, London, UK.
D D JonigkInstitute of Pathology, Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0002-5251-2281
S E VerledenAntwerp Surgical Training, Anatomy and Research Centre (ASTARC), University of Antwerp, Antwerp, Belgium.
M AckermannInstitute of Pathology and Molecular Pathology, Helios University Clinic Wuppertal, University of Witten/Herdecke, Wuppertal, Germany.ORCID http://orcid.org/0000-0001-9996-2477
Peter D LeeDepartment of Mechanical Engineering, University College London, London, UK. peter.lee@ucl.ac.uk.ORCID http://orcid.org/0000-0002-3898-8881
Paul TafforeauEuropean Synchrotron Radiation Facility, Grenoble, France. paul.tafforeau@esrf.fr.ORCID http://orcid.org/0000-0002-5962-1683
European Synchrotron Radiation Facility · FRMedizinische Hochschule Hannover · DEHeidelberg University · DEJohannes Gutenberg University Mainz · DEResearch Complex at Harwell · GBThe London College · GBUniversité Grenoble Alpes · FRUniversity College London · GBUniversity of Antwerp · BE

Funding

Medical Research Council MR/R025673/1
6 · The paper itself

Abstract

Imaging across different scales is essential for understanding healthy organ morphology and pathophysiological changes. The macro- and microscale three-dimensional morphology of large samples, including intact human organs, is possible with X-ray microtomography (using laboratory or synchrotron sources). Preparation of large samples for high-resolution imaging, however, is challenging due to limitations such as sample shrinkage, insufficient contrast, movement of the sample and bubble formation during mounting or scanning. Here, we describe the preparation, stabilization, dehydration and mounting of large soft-tissue samples for X-ray microtomography. We detail the protocol applied to whole human organs and hierarchical phase-contrast tomography at the European Synchrotron Radiation Facility, yet it is applicable to a range of biological samples, including complete organisms. The protocol enhances the contrast when using X-ray imaging, while preventing sample motion during the scan, even with different sample orientations. Bubbles trapped during mounting and those formed during scanning (in the case of synchrotron X-ray imaging) are mitigated by multiple degassing steps. The sample preparation is also compatible with magnetic resonance imaging, computed tomography and histological observation. The sample preparation and mounting require 24-36 d for a large organ such as a whole human brain or heart. The preparation time varies depending on the composition, size and fragility of the tissue. Use of the protocol enables scanning of intact organs with a diameter of 150 mm with a local voxel size of 1 μm. The protocol requires users with expertise in handling human or animal organs, laboratory operation and X-ray imaging.

Indexed as

BrainSynchrotronsAnimalsHumansImaging, Three-DimensionalMultimodal ImagingX-Ray Microtomography

Identifiers

PMID36859614
OpenAlexW4322739958

What OpenQuestion holds

Textmetadata
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.