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13 March 2024 Enhancing cancer tissue analysis using photothermal mid-infrared spectroscopic imaging
Chalapathi Gajjela, Ragib Ishrak, Xinyu Wu, Reza Reihani, David Mayerich, Rohith K. Reddy
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Proceedings Volume PC12855, Advanced Chemical Microscopy for Life Science and Translational Medicine 2024; PC128550X (2024) https://doi.org/10.1117/12.3003048
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Mid-Infrared Spectroscopic Imaging (MIRSI) integrates the molecular precision of vibrational spectroscopy with the comprehensive spatial resolution offered by microscopy. The merger of machine learning with MIRSI has empowered the process of discerning tissue subtypes and grading cancers in a quantitative, label-free way. We plan to showcase findings derived from subtyping and segmenting tissues from ovarian, cervical, and endometrial cancers using an advanced high-resolution photothermal MIRSI technology. Moreover, we will exhibit imaging data along with analysis results from clinical bone samples and outline the characteristics of fibrosis.
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Chalapathi Gajjela, Ragib Ishrak, Xinyu Wu, Reza Reihani, David Mayerich, and Rohith K. Reddy "Enhancing cancer tissue analysis using photothermal mid-infrared spectroscopic imaging", Proc. SPIE PC12855, Advanced Chemical Microscopy for Life Science and Translational Medicine 2024, PC128550X (13 March 2024); https://doi.org/10.1117/12.3003048
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KEYWORDS
Imaging spectroscopy
Biomedical optics
Spectroscopy
Tissues
Cancer
Mid-IR
Bone
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