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5 March 2021 Photothermal spectroscopic imaging for ovarian and bone disorders
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Abstract
Mid-infrared spectroscopic imaging (MIRSI) combines the molecular specificity of vibrational spectroscopy with the spatial detail provided by microscopy. Chemical information from each pixel of an image is used in a machine-learning framework to perform tissue sub-type identification, and recognition of tissue disorders. Recent developments in infrared imaging have resulted in an order of magnitude improvement in resolution relative to FT-IR. We will present and discuss results from imaging of ovarian and bone tissue using FT-IR imaging, and a new photothermal absorption technique for identifying tissue sub-types in an accurate, quantitative, label-free manner.
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Rohith K. Reddy, Chalapathi Gajjela, Rupali Mankar, and David Mayerich "Photothermal spectroscopic imaging for ovarian and bone disorders", Proc. SPIE 11656, Advanced Chemical Microscopy for Life Science and Translational Medicine 2021, 116560L (5 March 2021); https://doi.org/10.1117/12.2578622
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