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Related Experiment Video

Updated: Jun 24, 2026

Automated Dissection Protocol for Tumor Enrichment in Low Tumor Content Tissues

Automated Dissection Protocol for Tumor Enrichment in Low Tumor Content Tissues

Published on: March 29, 2021

3D pathology-guided microdissection.

Huai-Ching Hsieh^1,2, Gan Gao^2,3, Qinghua Han^1,2

¹Department of Bioengineering, Stanford University, Stanford, CA, USA.

|June 22, 2026

Summary

This summary is machine-generated.

Researchers developed a new 3D microdissection technique using computer-controlled milling and light-sheet microscopy. This method allows detailed molecular analysis of complex, three-dimensional tissue structures, advancing tumor evolution studies.

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Last Updated: Jun 24, 2026

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Published on: June 3, 2022

Area of Science:

Biotechnology
Microscopy
Molecular Biology

Background:

Traditional microdissection methods are limited to 2D tissue sections.
3D microscopy is increasingly used, but lacks analogous volumetric dissection techniques.
Analyzing complex 3D tissue architectures for molecular insights remains challenging.

Purpose of the Study:

To develop a novel 3D microdissection method for volumetric tissue analysis.
To enable molecular studies of complex 3D biological structures.
To overcome limitations of 2D methods in studying intricate architectures like tumor evolution.

Main Methods:

Integration of computer numerical controlled (CNC) milling with open-top light-sheet microscopy.
Development of a volumetric microdissection approach for intact 3D samples.
Application of the technique to analyze complex branching architectures.

Main Results:

Successful demonstration of 3D microdissection for molecular analysis.
Ability to study tumor evolution along convoluted 3D branching architectures.
Overcoming the limitations of 2D dissection for complex volumetric structures.

Conclusions:

The developed 3D microdissection method provides unprecedented access to volumetric tissue analysis.
This technique is crucial for studying complex biological processes, such as tumor evolution in 3D.
It bridges the gap between 3D imaging and molecular dissection for comprehensive biological insights.