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Mid-infrared spectroscopic imaging (MIRSI) combines the molecular specificity of vibrational spectroscopy with the spatial detail provided by microscopy. Combining machine learning and MIRSI has facilitated the identification of tissue subtypes and cancer grades in a label-free and quantitative manner. We will present results from tissue subtyping and segmentation in ovarian, cervical, and endometrial cancer tissue with a new, high-resolution photothermal MIRSI technology. We will also show imaging data and analysis results from clinical bone samples and characterize fibrosis.
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Chalapathi Gajjela, Rupali Mankar, Ragib Ishrak, Xinyu Wu, Reza Reihanisaransari, Sharmin Afrose, David Mayerich, Rohith K. Reddy, "Biomedical diagnostics and clinical applications of photothermal mid-infrared spectroscopic imaging (Conference Presentation)," Proc. SPIE PC12392, Advanced Chemical Microscopy for Life Science and Translational Medicine 2023, PC123920R (15 March 2023); https://doi.org/10.1117/12.2649535