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Related Experiment Video

Updated: Jun 19, 2026

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
07:16

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

Published on: April 25, 2025

Intelligent three-dimensional imaging in pathology: Applications and developments.

Wentian Si1, Fang Zhao2, Dong Kuang3

  • 1School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

Chinese Medical Journal
|June 18, 2026
PubMed
Summary

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This summary is machine-generated.

Three-dimensional (3D) pathology, utilizing advanced imaging and AI, offers a comprehensive view of tissue architecture, overcoming limitations of traditional 2D methods for improved cancer diagnosis and treatment planning.

Area of Science:

  • Pathology
  • Biomedical Imaging
  • Computational Biology

Background:

  • Conventional 2D pathology provides limited, potentially biased views of tissue structure.
  • Loss of axial details in 2D imaging hinders accurate tumor and microenvironment assessment.

Purpose of the Study:

  • To review technical pathways and applications of 3D pathology.
  • To highlight the advantages of 3D over 2D pathology for clinical decision-making.
  • To identify challenges and future directions for AI-enabled 3D pathology.

Main Methods:

  • Tissue clearing and light-sheet fluorescence microscopy for volumetric data acquisition.
  • Virtual staining, AI, and spatial omics for data analysis.
  • Development of an analytical framework for 3D pathological data.
Keywords:
Artificial intelligenceLarge-scale pathology modelsLight-sheet fluorescence microscopyThree-dimensional pathologyTissue clearing

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Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping
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Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping

Published on: December 15, 2023

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Last Updated: Jun 19, 2026

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
07:16

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

Published on: April 25, 2025

Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping
07:47

Enhanced Communication of Tumor Margins Using 3D Scanning and Mapping

Published on: December 15, 2023

Main Results:

  • 3D pathology enables volumetric analysis while preserving tissue architecture.
  • Applications include enhanced tumor staging, lesion detection, and immune microenvironment profiling.
  • 3D pathology shows potential for precision diagnosis, prognosis, and therapy selection.

Conclusions:

  • AI-enabled 3D pathological imaging is a promising advancement in pathology.
  • Integration into routine clinical practice requires further technological development and validation.
  • Overcoming challenges in cost, standardization, and implementation is crucial for clinical adoption.