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Related Experiment Video

Updated: May 12, 2026

In Situ Ca2+ Imaging of the Enteric Nervous System

In Situ Ca2+ Imaging of the Enteric Nervous System

Published on: January 29, 2015

AI-powered 3D pathology protocol enhances enteric nervous system visualization and quantification for clinical

Young Hyun Yun¹, Kee Young Chung², Yunjoo Lee³

¹Department of Anatomy and Cell Biology, Seoul National University College of Medicine, Seoul, Republic of Korea.

|August 4, 2025

Summary

Three-dimensional (3D) imaging combined with artificial intelligence (AI) enhances gastrointestinal disease diagnosis. This approach improves understanding of disease mechanisms and patient outcomes.

Keywords:

Hirschsprung disease artificial intelligence enteric nervous system tissue clearing ulcerative colitis

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Last Updated: May 12, 2026

In Situ Ca2+ Imaging of the Enteric Nervous System

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Published on: January 29, 2015

High Resolution 3D Imaging of the Human Pancreas Neuro-insular Network

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Expanding the Toolkit for In Vivo Imaging of Axonal Transport

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Published on: December 23, 2021

Area of Science:

Gastroenterology
Medical Imaging
Artificial Intelligence

Background:

Traditional 2D histopathology has limitations in visualizing the complex 3D structure of gastrointestinal tissues.
Accurate diagnosis of diseases like ulcerative colitis and Hirschsprung's disease is hindered by these limitations.

Purpose of the Study:

To explore the integration of 3D imaging and AI for improved histological evaluation.
To enhance diagnostic accuracy and understanding of gastrointestinal diseases.

Main Methods:

Utilized advanced 3D imaging techniques to capture intricate tissue architecture.
Employed artificial intelligence for analyzing complex datasets and identifying subtle pathological changes.

Main Results:

3D imaging and AI significantly improved diagnostic accuracy for gastrointestinal diseases.
This integrated approach provided novel insights into disease pathophysiology and mechanisms.
Enabled earlier and more precise detection of pathological alterations.

Conclusions:

3D imaging and AI hold transformative potential for revolutionizing GI disease diagnostics.
This methodology can bridge gaps in clinical and basic research, improving patient outcomes.
Facilitates innovative research methodologies for gastrointestinal pathology.