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 language | English |
|---|---|
| Title of host publication | Translational Biophotonics |
| Subtitle of host publication | Diagnostics and Therapeutics IV |
| Editors | Zhiwei Huang, Lothar D. Lilge |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510698055 |
| DOIs | |
| Publication status | Published - 18-12-2025 |
| Event | 4th Translational Biophotonics: Diagnostics and Therapeutics - Munich, Germany Duration: 22-06-2025 → 26-06-2025 |
Publication series
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Volume | 13934 |
| ISSN (Print) | 1605-7422 |
Conference
| Conference | 4th Translational Biophotonics: Diagnostics and Therapeutics |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 22-06-25 → 26-06-25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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