Presentation
15 March 2023 Biomedical diagnostics and clinical applications of photothermal mid-infrared spectroscopic imaging (Conference Presentation)
Author Affiliations +
Abstract
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chalapathi Gajjela, Rupali Mankar, Ragib Ishrak, Xinyu Wu, Reza Reihanisaransari, Sharmin Afrose, David Mayerich, and 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
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KEYWORDS
Imaging spectroscopy

Spectroscopy

Biomedical optics

Cancer

Mid-IR

Diagnostics

Cervical cancer

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