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13 March 2024 Assessment of liver steatosis using an ambient light-compatible Raman system: enhancing specificity with supplementary reflectance information
Hao Guo, Ashley E. Stueck, Jason B. Doppenberg, Yun Suk Chae, Alexey B. Tikhomirov, Haishan Zeng, Boris L. Gala-Lopez, Anita Mahadevan-Jansen, Marten A. Engelse, Ian P. J. Alwayn, Andrea K. Locke, Kevin C. Hewitt
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Proceedings Volume PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry; PC128390B (2024) https://doi.org/10.1117/12.3009086
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Our study introduced a custom-built portable Raman system to non-invasively evaluate hepatic steatosis, specifically macrovesicular steatosis, in human liver samples. Using a dual-validation approach with both biochemical and histopathological methods, our preliminary results showed promising correlations between Raman-derived measurements and traditional metrics. Additionally, by integrating supplementary reflectance data, we devised a predictive model that effectively pinpointed discrepancies in liver fat content assessments. This method promises to enhance the accuracy of donor liver evaluations, potentially improving transplant outcomes.
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Hao Guo, Ashley E. Stueck, Jason B. Doppenberg, Yun Suk Chae, Alexey B. Tikhomirov, Haishan Zeng, Boris L. Gala-Lopez, Anita Mahadevan-Jansen, Marten A. Engelse, Ian P. J. Alwayn, Andrea K. Locke, and Kevin C. Hewitt "Assessment of liver steatosis using an ambient light-compatible Raman system: enhancing specificity with supplementary reflectance information", Proc. SPIE PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry, PC128390B (13 March 2024); https://doi.org/10.1117/12.3009086
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KEYWORDS
Raman spectroscopy
Liver
Reflectivity
Data modeling
Histopathology
Light sources and illumination
Portability
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