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Correlative three-dimensional X-ray histology (3D-XRH) as a tool for quantifying mammalian placental structure.
- Source :
-
Placenta [Placenta] 2024 Jul 31. Date of Electronic Publication: 2024 Jul 31. - Publication Year :
- 2024
- Publisher :
- Ahead of Print
-
Abstract
- Mammalian placentas exhibit unparalleled structural diversity, despite sharing a common ancestor and principal functions. The bulk of structural studies in placental research has used two-dimensional (2D) histology sectioning, allowing significant advances in our understanding of mammalian placental structure. However, 2D histology sectioning may be limited if it does not provide accurate information of three-dimensional (3D) tissue architecture. Here, we propose correlative 3D X-ray histology (3D-XRH) as a tool with great potential for resolving mammalian placental structures. 3D-XRH involves scanning a formaldehyde-fixed, paraffin embedded (FFPE) tissue block with 3D X-ray microscopy (microCT) prior to histological sectioning to generate a 3D image volume of the embedded tissue piece. The subsequent 2D histology sections can then be correlated back into the microCT image volume to couple histology staining (or immunolabelling) with 3D tissue architecture. 3D-XRH is non-destructive and requires no additional sample preparation than standard FFPE histology sectioning, however the image volume provides 3D morphometric data and can be used to guide microtomy. As such, 3D-XRH introduces additional information to standard histological workflows with minimal effort or disruption. Using primary examples from porcine, bovine, equine, and canine placental samples, we demonstrate the application of 3D-XRH to quantifying placental structure as well as discussing the limitations and future directions of the methodology. The wealth of information derived from 2D histological sectioning in the biomedical, veterinary, and comparative reproductive sciences provides a rich foundation from which 3D-XRH can build on to advance the study of placental structure and function.<br />Competing Interests: Declaration of competing interest We declare we have no competing interests.<br /> (Copyright © 2024. Published by Elsevier Ltd.)
Details
- Language :
- English
- ISSN :
- 1532-3102
- Database :
- MEDLINE
- Journal :
- Placenta
- Publication Type :
- Academic Journal
- Accession number :
- 39097490
- Full Text :
- https://doi.org/10.1016/j.placenta.2024.07.312