Evidence map›Paper›PMID 39820007›Full record

ArticleScientific reports2025

High-resolution X-ray phase-contrast tomography of human placenta with different wavefront markers.

Sara Savatović, Davis Laundon, Fabio De Marco, Mirko Riedel, Jörg U Hammel, Madleen Busse, Murielle Salomé, Lorella Pascolo, Irene Zanette, Rohan M Lewis and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

12 authors.

Sara SavatovićMunich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany. sara.savatovic@tum.de.
Davis LaundonHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK.
Fabio De MarcoDepartment of Physics, University of Trieste, 34127, Trieste, Italy.
Mirko RiedelMunich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Jörg U HammelInstitute of Materials Physics, Helmholtz-Zentrum hereon, 21502, Geesthacht, Germany.
Madleen BusseMunich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Murielle SaloméESRF - The European Synchrotron Radiation Facility, 38043, Grenoble, France.
Lorella PascoloInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137, Trieste, Italy.
Irene ZanetteElettra - Sincrotrone Trieste S.C.p.A., 34149, Basovizza, Italy.
Rohan M LewisHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK.
Julia HerzenMunich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Pierre ThibaultDepartment of Physics, University of Trieste, 34127, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phase-contrast micro-tomography ([Formula: see text]CT) with synchrotron radiation can aid in the differentiation of subtle density variations in weakly absorbing soft tissue specimens. Modulation-based imaging (MBI) extracts phase information from the distortion of reference patterns, generated by periodic or randomly structured wavefront markers (e.g., gratings or sandpaper). The two approaches have already found application for the virtual inspection of biological samples. Here, we perform high-resolution [Formula: see text]CT scans of an unstained human placenta specimen, using MBI with both a 2D grating and sandpaper as modulators, as well as conventional propagation-based imaging (PBI). The 3D virtual representation of placenta offers a valuable tool for analysing its intricate branching villous network and vascular structure, providing new insights into its complex architecture. Within this study, we assess reconstruction quality achieved with all three evaluated phase-contrast methods. Both MBI datasets are processed with the Unified Modulated Pattern Analysis (UMPA) model, a pattern-matching algorithm. In order to evaluate the benefits and suitability of MBI for virtual histology, we discuss how the complexities of the technique influence image quality and correlate the obtained volumes to 2D techniques, such as conventional histology and X-ray fluorescence (XRF) elemental maps.

Indexed as

PlacentaX-Ray MicrotomographyAlgorithmsFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalPregnancy

Identifiers

PMID39820007
PMCPMC11739398

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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.