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13 March 2024 Raman spectroscopic analysis of lung tissue sections
Eliza Ballantyne, Anshuman Chaturvedi, Dustin Shipp, Maria Lizio
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Proceedings Volume PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry; PC128390H (2024) https://doi.org/10.1117/12.3000511
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Lung cancer is difficult to detect using Raman spectroscopy, particularly due to tar fluorescence. We demonstrate improved performance for Raman classifiers by using fixed tissue sections and compare results with immunohistochemistry and hematoxylin and eosin (H&E) staining. In addition to eliminating fluorescence, fixed samples provide the flexibility of additional measurements and provide greater detail in borderline cases. Reliable classifiers based on Raman features would provide an additional tool to detect lung cancer during medical procedures would benefit patients and save medical resources.
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Eliza Ballantyne, Anshuman Chaturvedi, Dustin Shipp, and Maria Lizio "Raman spectroscopic analysis of lung tissue sections", Proc. SPIE PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry, PC128390H (13 March 2024); https://doi.org/10.1117/12.3000511
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KEYWORDS
Raman spectroscopy
Lung cancer
Tissues
Lung
Spectroscopy
Cancer
Biological samples
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