Photothermal Spectroscopic imaging for gynecologic cancer diagnosis and study of bone disorders

Chalapathi C. Gajjela; Rupali Mankar; Xinyu Wu; Sharmin Afrose; Camille Artur; David Mayerich; Rohith K. Reddy

doi:10.1117/12.2610064

2 March 2022 Photothermal Spectroscopic imaging for gynecologic cancer diagnosis and study of bone disorders

Chalapathi C. Gajjela, Rupali Mankar, Xinyu Wu, Sharmin Afrose, Camille Artur, David Mayerich, Rohith K. Reddy

Proceedings Volume PC11973, Advanced Chemical Microscopy for Life Science and Translational Medicine 2022; PC119730H (2022) https://doi.org/10.1117/12.2610064
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

The absorption of mid-infrared light has the specificity to enable biochemical identification and characterization of tissue. Mid-infrared spectroscopic imaging (MIRSI) combines the molecular specificity of vibrational spectroscopy with the spatial detail provided by microscopy. The combination of machine learning and MIRSI has facilitated the identification of tissue sub-type and cancer grade in a label-free and quantitative manner. We will present results comparing various MIRSI technologies and discuss the advantages of each technology. We also present imaging data and results of high-resolution MIRSI of ovarian, cervical, and bone samples.

Conference Presentation

Citation Download Citation

Chalapathi C. Gajjela, Rupali Mankar, Xinyu Wu, Sharmin Afrose, Camille Artur, David Mayerich, and Rohith K. Reddy "Photothermal Spectroscopic imaging for gynecologic cancer diagnosis and study of bone disorders", Proc. SPIE PC11973, Advanced Chemical Microscopy for Life Science and Translational Medicine 2022, PC119730H (2 March 2022); https://doi.org/10.1117/12.2610064

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