Development of an image profiling method for high-throughput single extracellular vesicle analysis

Li-Hsien Ho; Zhi-Yang Wei; Yi-Chien Chen; Yu-He Liu; Chia-Hung Chen; Tao-Yun Yen; Wei-Chun Lan; Yun-Hsien Chung; I-Hsuan Chou; Hsien-Wen Yao; Peng-Wei Hsu; Chen-Han Huang; Hsing-Ying Lin

doi:10.1117/12.3007897

20 September 2023 Development of an image profiling method for high-throughput single extracellular vesicle analysis

Li-Hsien Ho, Zhi-Yang Wei, Yi-Chien Chen, Yu-He Liu, Chia-Hung Chen, Tao-Yun Yen, Wei-Chun Lan, Yun-Hsien Chung, I-Hsuan Chou, Hsien-Wen Yao, Peng-Wei Hsu, Chen-Han Huang, Hsing-Ying Lin

Author Affiliations +

Proceedings Volume 12608, Biomedical Imaging and Sensing Conference; 126080M (2023) https://doi.org/10.1117/12.3007897
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

5-ALA (5-aminolevulinic acid) administration for positioning tumor tissues in craniotomy is growing since the FDA approval has already passed in June 2017 [1]. This may also open a path to the convenient single extracellular vesicle (EV) analysis in liquid biopsy for tracking and analyzing the tumor-derived EVs with PPIX expression, the middle byproduct upon the oral intake of 5-ALA. 5-ALA-based fluorescence is due to preferential accumulation of the fluorophore protoporphyrin-IX (PpIX) in the malignant glioma tissue. Single EV analysis has become technically feasible and promising in studies of early cancer diagnosis and clinical translational medicine applications [2]. It can minimize the heterogenous issue between EVs once capturing a group of low percentage biomarker-positive EVs. There is a need to scale up and implement an easy-to-use single EV analysis platform to be organized into the routine practices of current research and clinical laboratories to enable early cancer diagnostics. We are combining the 5-ALA dyed EV samples with single EV detection method to establish a more efficient and precise approach for patient’s early cancer diagnosis.

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Li-Hsien Ho, Zhi-Yang Wei, Yi-Chien Chen, Yu-He Liu, Chia-Hung Chen, Tao-Yun Yen, Wei-Chun Lan, Yun-Hsien Chung, I-Hsuan Chou, Hsien-Wen Yao, Peng-Wei Hsu, Chen-Han Huang, and Hsing-Ying Lin "Development of an image profiling method for high-throughput single extracellular vesicle analysis", Proc. SPIE 12608, Biomedical Imaging and Sensing Conference, 126080M (20 September 2023); https://doi.org/10.1117/12.3007897

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