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Related Experiment Video

Updated: Sep 24, 2025

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

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Published on: April 25, 2025

Three-dimensional tissue volume generation in conventional brightfield microscopy.

Panteleimon Koudounas¹, Efthymios Koniaris², Ioannis Manolis³

¹Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, University of West Attica, Athens, Greece.

Microscopy Research and Technique

|May 5, 2022

Summary

This summary is machine-generated.

This study introduces a method to create digital 3D tissue volumes from standard 2D Brightfield microscopy images, revealing hidden details for improved histopathology diagnostics.

Keywords:

3D tissue volume imaging cancer histopathology microscopy

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Area of Science:

Histopathology
Digital Pathology
Biomedical Imaging

Background:

Conventional histopathology relies on 2D imaging, potentially missing crucial 3D structural information.
Existing 3D tissue imaging methods can be specialized, costly, or limited in magnification.

Purpose of the Study:

To develop and automate a process for generating digital 3D tissue volumes using conventional Brightfield microscopy.
To enable enhanced visualization of histopathological samples beyond standard 2D imaging capabilities.

Main Methods:

Consecutive 2 μm tissue sections were stained (Hematoxylin and Eosin) and imaged.
Regions of Interest (ROIs) were identified, and 2D images were captured.
A deep learning interpolation method was used to stack 2D images and reconstruct 3D tissue volumes.

Main Results:

The generated 3D tissue volumes revealed information not discernible in conventional 2D Brightfield images.
The method allows 3D volume generation at any magnification without specialized equipment.
The approach offers a feasible, cost-effective upgrade for standard 2D microscopes.

Conclusions:

The proposed method provides a practical way to upgrade existing Brightfield microscopes for 3D imaging in histopathology.
This 3D imaging capability can enhance diagnostic accuracy and uncover subtle pathological features.
The technique is versatile, applicable to routine histopathology workflows without requiring specialized instruments.