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6 March 2023 Computational paper-based vertical flow assay for Lyme disease diagnosis
Hyouarm Joung, Zachary S. Ballard, Rajesh Ghosh, Artem Goncharov, Aydogan Ozcan, Dino Di Carlo, Omai Garner
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Proceedings Volume PC12369, Optics and Biophotonics in Low-Resource Settings IX; PC123690C (2023) https://doi.org/10.1117/12.2654777
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
We demonstrate a computational paper-based vertical flow assay (VFA) for point-of-care serodiagnosis of Lyme Disease (LD). We leveraged the multiplexed nature of the VFA and functionalized it using different antigen panels specific to LD. The paper-based VFA operation takes <20min, after which a hand-held reader captures an image of the sensing membrane. A deep learning-based algorithm processes the signals from multiple immunoreactions to output a diagnostic decision (i.e., positive/negative). This cost-effective computational VFA platform achieved a sensitivity and a specificity of 90.5% and 87%, respectively, demonstrating its promising potential for point-of-care diagnosis of LD even in resource-limited settings.
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Hyouarm Joung, Zachary S. Ballard, Rajesh Ghosh, Artem Goncharov, Aydogan Ozcan, Dino Di Carlo, and Omai Garner "Computational paper-based vertical flow assay for Lyme disease diagnosis ", Proc. SPIE PC12369, Optics and Biophotonics in Low-Resource Settings IX, PC123690C (6 March 2023); https://doi.org/10.1117/12.2654777
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KEYWORDS
Signal processing
Diagnostics
Multiplexing
Bacteria
Point-of-care devices
Sensors
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