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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
  • , Julia Herzen
  • , Pierre Thibault
  • Technical University of Munich
  • Research Group Biomedical Imaging Physics
  • Chair of Biomedical Physics
  • University of Trieste Via A
  • Strada Statale 143
  • Human Development and Health
  • University of Southampton, Faculty of Medicine
  • Institute for Life Sciences
  • University of Southampton
  • Institute of Materials Physics
  • Helmholtz-Zentrum Hereon outstation at Heinz Maier-Leibnitz Zentrum (MLZ)
  • European Synchrotron Radiation Facility
  • Institute for Maternal and Child Health-IRCCS ''burlo Garofolo''- Trieste

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Phase-contrast micro-tomography (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 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.

Original languageEnglish
Article number2131
JournalScientific Reports
Volume15
Issue number1
DOIs
StatePublished - Dec 2025

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