Skip to main navigation Skip to search Skip to main content

Ex vivo human placental imaging: Navigating modalities, scales, and analysis approaches to obtain fit-for-purpose data

Research output: Contribution to journalReview articlepeer-review

7 Downloads (Pure)

Abstract

The placenta is one of the most accessible human organs for ex vivo imaging, yet it still remains one of the least understood. Recent advances in ex vivo imaging approaches provide opportunities to capture the complex anatomy of the placenta and its vasculature across multiple scales. However, alongside this it is imperative to consider how we can optimise workflows - from tissue sampling and preparation to analysis - to obtain meaningful quantitative data from imaging, including computational handling of large and complex datasets at scale. Indeed, such tools are critical to advance our insight into how structure-function relationships change across gestation, or in pregnancy pathologies. This review first provides a quantitative overview of placental structure, then critically considers the advantages and disadvantages of current and emerging ex vivo placental imaging approaches from the subcellular level to the organ scale, with a focus on methods and considerations to enable meaningful quantification and downstream use of data.

Original languageEnglish
JournalPlacenta
Early online date2 Mar 2026
DOIs
Publication statusE-pub ahead of print - 2 Mar 2026

Bibliographical note

Publisher Copyright:
© 2026 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/

Keywords

  • Confocal
  • Electron microscopy
  • microCT
  • Optical coherence tomography
  • Placenta
  • Synchrotron

ASJC Scopus subject areas

  • Reproductive Medicine
  • Obstetrics and Gynaecology
  • Developmental Biology

Fingerprint

Dive into the research topics of 'Ex vivo human placental imaging: Navigating modalities, scales, and analysis approaches to obtain fit-for-purpose data'. Together they form a unique fingerprint.

Cite this