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13 March 2024 Identifying metastatic melanoma with pump-probe microscopy of melanin
David Grass
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Proceedings Volume PC12855, Advanced Chemical Microscopy for Life Science and Translational Medicine 2024; PC1285504 (2024) https://doi.org/10.1117/12.2691939
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
More patients diagnosed with stage I (local) melanoma die than any other metastatic stage, because there exists no biomarker to reliably diagnose metastatic melanoma, preventing many patients from receiving appropriate treatment. We pursue an approach based on femtosecond pump-probe microscopy of melanin; a natural pigment found in most melanoma. The measured pump-probe signals of melanin are complex superpositions of multiple nonlinear processes, making interpretation challenging, especially for clinical applications. We will provide updates on our latest progress in experimental techniques such as polarization pump-probe microscopy that allow for cleaner decomposition of measured signals into fundamental physical interactions. We will also discuss supervised learning algorithms for classification and their application to metastatic melanoma diagnosis, and compare them to conventional data analysis methods such as fitting.
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David Grass "Identifying metastatic melanoma with pump-probe microscopy of melanin", Proc. SPIE PC12855, Advanced Chemical Microscopy for Life Science and Translational Medicine 2024, PC1285504 (13 March 2024); https://doi.org/10.1117/12.2691939
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KEYWORDS
Melanoma
Microscopy
Biomedical applications
Diagnostics
Femtosecond phenomena
Machine learning
Nonlinear dynamics
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