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13 March 2024 Preanalytical optimization of Raman biofluid measurements toward the automation of cancer detection
Rebecca Mayer, Randy Carney, Kwan Lun Chiu
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Proceedings Volume PC12850, Optical Diagnostics and Sensing XXIV: Toward Point-of-Care Diagnostics; PC1285007 (2024) https://doi.org/10.1117/12.3003212
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Current diagnostic tumor biopsies are invasive and can disrupt and spread the tumor. Liquid biopsies are inadequate for early-stage detection, resulting in lower survival rates and poorer prognoses. Raman spectroscopy can detect many cancers by identifying subtle cancer-associated metabolites in circulating biofluids. This study investigates preanalytical variables affecting Raman biofluid measurements in head and neck cancer patients, namely spatially correlated changes caused by Marangoni and capillary flow, aiming to streamline testing by reducing sample acquisition time and human intervention. This method is fully automated, providing a high-throughput assay for large-scale screening, paving the way for widely available, sensitive cancer detection.
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Rebecca Mayer, Randy Carney, and Kwan Lun Chiu "Preanalytical optimization of Raman biofluid measurements toward the automation of cancer detection", Proc. SPIE PC12850, Optical Diagnostics and Sensing XXIV: Toward Point-of-Care Diagnostics, PC1285007 (13 March 2024); https://doi.org/10.1117/12.3003212
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KEYWORDS
Cancer detection
Raman spectroscopy
Automation
Cancer
Tumors
Biopsy
Diagnostics
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