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 | European Conference on Biomedical Optics, ECBO 2025 |
| Publisher | Optical Society of America |
| ISBN (Electronic) | 9781557528001 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 European Conference on Biomedical Optics, ECBO 2025 - Munich, Germany Duration: 22-06-2025 → 26-06-2025 |
Publication series
| Name | European Conference on Biomedical Optics, ECBO 2025 |
|---|
Conference
| Conference | 2025 European Conference on Biomedical Optics, ECBO 2025 |
|---|---|
| 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
- Biomedical Engineering
- Biomaterials
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
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