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Machine learning-enhanced two-photon microscopy for the detection of esophageal cancer progression through collagen analysis

  • Kausalya Neelavara Makkithaya
  • , Ming Che Chan
  • , Wei Shiuan Tseng
  • , Nirmal Mazumder
  • , Guan Yu Zhuo*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We demonstrate a novel approach combining two-photon microscopy with machine learning algorithms to analyze collagen organization in esophageal tissues, enabling differentiation between squamous cell carcinoma and high-grade dysplasia through quantitative extracellular matrix assessment.

Original languageEnglish
Title of host publicationTranslational Biophotonics
Subtitle of host publicationDiagnostics and Therapeutics IV
EditorsZhiwei Huang, Lothar D. Lilge
PublisherSPIE
ISBN (Electronic)9781510698055
DOIs
Publication statusPublished - 18-12-2025
Event4th Translational Biophotonics: Diagnostics and Therapeutics - Munich, Germany
Duration: 22-06-202526-06-2025

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume13934
ISSN (Print)1605-7422

Conference

Conference4th Translational Biophotonics: Diagnostics and Therapeutics
Country/TerritoryGermany
CityMunich
Period22-06-2526-06-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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