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13 March 2024 Multiplexed quantification of biomarkers using deep learning-based fluorescent vertical flow assay
Artem Goncharov, Hyou-Arm Joung, Rajesh Ghosh, Gyeo-Re Han, Zachary S. Ballard, Quinn Maloney, Alexandra Bell, Chew Tin Zar Aung, Omai B. Garner, Dino Di Carlo, Aydogan Ozcan
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Proceedings Volume PC12832, Optics and Biophotonics in Low-Resource Settings X; PC128320H (2024) https://doi.org/10.1117/12.3000755
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
We report a point-of-care sensor for multiplexed quantification of three cardiac biomarkers, i.e., myoglobin, creatine kinase-MB (CK-MB) and heart-type fatty acid binding protein (FABP) from human serum. The sensor uses a paper-based fluorescent vertical-flow assay (fxVFA), and the assay operation takes <15 min and requires 50 µL of serum. After the assay, an image of the sensing membrane is captured by a cellphone-based reader, and a deep learning-based algorithm infers the concentrations of the 3 cardiac biomarkers from the captured fluorescence image. Our fxVFA achieved a limit-of-detection of <0.52 ng/mL, a coefficient-of-determination of >0.9, and a coefficient-of-variation (CV) of <15%.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Artem Goncharov, Hyou-Arm Joung, Rajesh Ghosh, Gyeo-Re Han, Zachary S. Ballard, Quinn Maloney, Alexandra Bell, Chew Tin Zar Aung, Omai B. Garner, Dino Di Carlo, and Aydogan Ozcan "Multiplexed quantification of biomarkers using deep learning-based fluorescent vertical flow assay", Proc. SPIE PC12832, Optics and Biophotonics in Low-Resource Settings X, PC128320H (13 March 2024); https://doi.org/10.1117/12.3000755
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KEYWORDS
Multiplexing
Point-of-care devices
Sensors
Surgery
Biomedical optics
Biosensors
Fluorescence
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