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Related Experiment Video

Updated: May 8, 2026

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

3-Dimensional Reconstruction From Histopathological Sections: A Systematic Review.

Alexander Kurz¹, Heimo Müller², Jakob N Kather³

¹Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Laboratory Investigation; a Journal of Technical Methods and Pathology

|March 21, 2024

Summary

This summary is machine-generated.

Three-dimensional (3D) reconstruction from histologic sections offers new spatial analysis possibilities. Review of recent studies shows available software tools, but highlights needs for common file formats and computer-aided analysis.

Keywords:

3D reconstruction histology image alignment image registration whole slide image

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Published on: October 17, 2018

Area of Science:

Pathology
Biomedical Imaging
Computational Biology

Background:

Traditional pathological analysis relies on 2D histologic slides.
This limits comprehensive spatial understanding of tissue architecture.
Three-dimensional (3D) reconstruction offers advanced analytical potential.

Purpose of the Study:

To review recent advancements in 3D reconstruction from histologic sections.
To identify tissue types, section parameters, and reconstruction methodologies.
To analyze available software tools and future research directions.

Main Methods:

Systematic review of scientific literature published after 2018.
Analysis of extracted tissue types, section thickness, and number of sections.
Evaluation of software requirements and existing tools for 3D reconstruction.

Main Results:

Numerous studies demonstrate 3D reconstruction from histologic sections.
A variety of tissue types have been successfully reconstructed.
Both free and commercial software solutions are available for 3D reconstruction.

Conclusions:

3D reconstruction from histologic sections is technically feasible with current software.
Future work should focus on standardization (e.g., common file formats) and computational analysis.
This approach promises enhanced spatial analysis in pathology.