Integration and evaluation of several droplet imaging quantification methods for a compact fluorescent digital bead imaging device

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

doi:10.1117/12.3007894

20 September 2023 Integration and evaluation of several droplet imaging quantification methods for a compact fluorescent digital bead imaging device

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

Author Affiliations +

Proceedings Volume 12608, Biomedical Imaging and Sensing Conference; 126080L (2023) https://doi.org/10.1117/12.3007894
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

Digital droplet analysis divides a liquid biopsy sample into twenty-five thousand of nanoliter beads. Specific molecular recognition and amplification reactions are spaced into each droplet. To achieve sensitive molecular detection, we need to group droplets by different fluorescent colors and count the number of sorted beads. To expedite the entire molecular omic data analysis, we use Roboflow to label positive/negative droplets, and train the labeled images through several YOLOv5 models. We are developing and integrating an efficient droplet identification method into a point-of-use Raspberry Pi bead imaging device for counting the copy number of specific gene expression in biofluids. We particularly focus on the specific gene expression on extracellular vesicles of a malignant brain tumor.

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Zhi-Yang Wei, Yi-Chien Chen, Yu-He Liu, Li-Hsien Ho, Chia-Hung Chen, Wei-Chun Lan, I-Hsuan Chou, Yun-Hsien Chung, Tao-Yun Yen, Hsien-Wen Yao, Peng-Wei Hsu, Chen-Han Huang, and Hsing-Ying Lin "Integration and evaluation of several droplet imaging quantification methods for a compact fluorescent digital bead imaging device", Proc. SPIE 12608, Biomedical Imaging and Sensing Conference, 126080L (20 September 2023); https://doi.org/10.1117/12.3007894

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