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Frontiers in Bioengineering and Biotechnology
Article . 2025 . Peer-reviewed
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3D visualization of uterus and ovary: tissue clearing techniques and biomedical applications

Authors: Qiqi Liu; Zhuo Song; Simin Liu; Zirui Dong; Xi Zheng; Tak Yeung Leung; Xiaoyan Chen;

3D visualization of uterus and ovary: tissue clearing techniques and biomedical applications

Abstract

Recent advancements in tissue clearing and three-dimensional (3D) visualization technologies have enabled subcellular-level examination of entire organs, particularly in complex structures such as the ovary and uterus. Traditional histological approaches are limited by two-dimensional views, which restrict our understanding of female reproductive system functions. In this review, we highlight the innovations in 3D tissue clearing techniques applied to uterine and ovarian tissues, which, combined with analytical tools, facilitate comprehensive 3D visualization and image analysis. We evaluate the advantages and disadvantages of three primary categories of tissue clearing techniques: organic solvent-based, hydrogel-based, and hydrogel-embedded methods, specifically regarding the uterus and ovary. Light-sheet and multiphoton microscopy complement these techniques, providing unprecedented capabilities for high-resolution imaging of large tissue volumes. Tissue clearing technologies provide a robust strategy for early diagnosis of uterine and ovarian pathologies. Additionally, we explore the integration of tissue clearing technologies with spatial transcriptomics and AI-driven analytical tools to achieve comprehensive 3D molecular mapping. We hope this review contributes to a better understanding of tissue clearing techniques and can help researchers in navigating methodological choices for uterine and ovarian investigations.

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Keywords

tissue clearing, 3D visualization, uterus, AI, spatial omics, Bioengineering and Biotechnology, ovary, TP248.13-248.65, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold