Label-Free Tissue Composition Assessment using Fluorescence Frequency-Response Imaging (F-FRI) for Cancer Diagnosis and Image-Guided Surgery

The Tissue Imaging and Spectroscopy Technical Group invites you to join them for a webinar series focused on recent advancements and future directions in fluorescence lifetime imaging modality (FLIM), from instrumentation, through data analysis to clinical work. This week’s webinar will feature a talk from Javier Jo from the University of Oklahoma.

Abstract:

Tissue composition can be analyzed through the properties of tissue autofluorescence, which are determined by the fluorescence absorption spectrum, emission spectrum, and lifetime characteristics of the endogenous fluorophores in the tissue. However, fluorescence imaging systems that provide comprehensive fluorescence characterization are often too costly and impractical for clinical translation of tissue autofluorescence imaging. We recently developed a novel, cost-effective, versatile, and practical fluorescence imaging modality called Fluorescence Frequency-Response Imaging (F-FRI). This modality can capture the frequency response of time-resolved fluorescence emission excited at multiple wavelengths and measured across various spectral emission bands. Two clinical applications of F-FRI-based label-free tissue characterization are currently being pursued. First, a novel autofluorescence endoscopy system has been developed for clinical label-free metabolic imaging of oral lesions. Preliminary results will be presented on potential endogenous F-FRI imaging biomarkers of oral epithelial dysplasia and cancer. Second, an open-top autofluorescence imaging system has been developed for intraoperative label-free wide-field biochemical imaging of resected skin tumors during Mohs micrographic surgery. Preliminary results will be presented showing correlation between intraoperative label-free multiparametric F-FRI images and frozen histology sections of skin tumor resection margins.

What You Will Learn:

• Label-free tissue characterization based on autofluorescence imaging
• A novel imaging modality called Fluorescence Frequency-Response Imaging (F-FRI)
• Potential clinical applications of label-free F-FRI in cancer diagnosis and imague-guided surgery

Who Should Attend:

This webinar is ideal for students, researchers, and clinicians involved in cancer diagnostics, treatment planning, and personalized medicine, with interest in advanced imaging techniques for assessing disease.

Subject Matter Level:

Intermediate - Assumes basic knowledge of the topic

About Our Speakers

Javier Jo

University of Oklahoma

About Javier Jo

Dr. Javier A. Jo is a biomedical scientist and a professor in electrical engineering at the University of Oklahoma. Dr. Jo has been pioneering the integration of optical imaging technologies with machine learning for developing smart imaging systems capable of both information-rich quantitative imaging and automated and objective imaging data interpretation. These smart imaging systems are facilitating the implementation of precision medicine by converting imaging data into more effective, personalized clinical decisions. He received the B.Sc. in electrical engineering (Universidad Católica del Perú) and his M.Sc. in electrical engineering and Ph.D. in biomedical engineering (University of Southern California). He is a Fellow of the Society of Photo-Optical Instrumentation Engineers (SPIE), the American Institute for Medical and Biological Engineering (AIMBE), and Optica, and serves as Topical Editor for OPTICA Optics Letters and Associate Editor for SPIE Journal of Biomedical Optics.

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