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15 March 2023 High-speed, quantitative Raman signal extraction from CARS spectra and hyperspectral imagery (Conference Presentation)
Charles H. Camp
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Proceedings Volume PC12392, Advanced Chemical Microscopy for Life Science and Translational Medicine 2023; PC123920N (2023) https://doi.org/10.1117/12.2649128
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Broadband coherent anti-Stokes Raman scattering (BCARS) micro-/spectroscopy is a powerful method of chemical imaging that is self-referenced to a co-generated background signal; thus, enabling direct, unnormalized comparison between microscopy platforms and samples. The workflow required to extract the self-referenced Raman spectra, however, has typically required milliseconds per spectrum; thus, hindering real-time analysis, visualization, and user interactivity. In this work, we demonstrate a new workflow using linear machine learning methods that is intrinsically interpretable, informed by the physics of the problem, and yet enables real-time processing with improved quantitation. Additionally, we will demonstrate how this can translate into automated region-of-interest selection.
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Charles H. Camp "High-speed, quantitative Raman signal extraction from CARS spectra and hyperspectral imagery (Conference Presentation)", Proc. SPIE PC12392, Advanced Chemical Microscopy for Life Science and Translational Medicine 2023, PC123920N (15 March 2023); https://doi.org/10.1117/12.2649128
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KEYWORDS
Raman spectroscopy
Hyperspectral imaging
Image processing
Machine learning
Imaging spectroscopy
Microscopy
Physics
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