Presentation
6 March 2023 Characterizing metabolic signatures of human biofluid-derived extracellular vesicles using label-free multimodal nonlinear optical microscopy
Janet E. Sorrells, Jaena Park, Edita Aksamitiene, Elisabeth Martin, Eric J. Chaney, Marina Marjanovic, Anna M. Higham, Kimberly A. Cradock M.D., Zheng G. Liu M.D., Stephen A. Boppart
Author Affiliations +
Abstract
Extracellular vesicles (EVs) are small, sub-micron membrane-bound particles that function in cell-to-cell communication and have potential to be used in diagnostics, therapy, and biological investigations. However, common characterization methods for EVs lack functional information and rely on “bulk” metrics that lack single-EV resolution. Recent work has applied label-free multimodal nonlinear optical microscopy for characterization of EVs via NAD(P)H and FAD autofluorescence. Here, we characterize EVs isolated from urine and serum from human breast cancer surgery patients and breast reduction surgery patients who have no history of breast cancer to examine altered cancer-related metabolic signatures in cancer-associated EVs.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janet E. Sorrells, Jaena Park, Edita Aksamitiene, Elisabeth Martin, Eric J. Chaney, Marina Marjanovic, Anna M. Higham, Kimberly A. Cradock M.D., Zheng G. Liu M.D., and Stephen A. Boppart "Characterizing metabolic signatures of human biofluid-derived extracellular vesicles using label-free multimodal nonlinear optical microscopy", Proc. SPIE PC12373, Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis, PC123730B (6 March 2023); https://doi.org/10.1117/12.2648976
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KEYWORDS
Microscopy

Optical microscopy

Breast cancer

Cancer

Diagnostics

Multiphoton microscopy

Surgery

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