Presentation
13 March 2024 Enhancing cancer tissue analysis using photothermal mid-infrared spectroscopic imaging
Author Affiliations +
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.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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