Quantitative particle agglutination assay for point-of-care sensing using mobile holographic imaging and neural networks

Yi Luo; Hyou-Arm Joung; Sarah Esparza; Jingyou Rao; Omai Garner; Aydogan Ozcan

doi:10.1117/12.2608813

7 March 2022 Quantitative particle agglutination assay for point-of-care sensing using mobile holographic imaging and neural networks

Yi Luo, Hyou-Arm Joung, Sarah Esparza, Jingyou Rao, Omai Garner, Aydogan Ozcan

Author Affiliations +

Proceedings Volume PC11950, Optics and Biophotonics in Low-Resource Settings VIII; PC1195004 (2022) https://doi.org/10.1117/12.2608813
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

We demonstrate a rapid and cost-effective particle agglutination-based sensor that is powered by holographic imaging and deep learning. A disposable capillary-based flow device is designed to host the agglutination reaction with a material cost of <2 cents/test. A mobile and inexpensive holographic microscope captures a movie of the reaction (~3 min), which is rapidly processed by trained neural networks to automatically measure the target analyte concentration within the sample. The efficacy of this mobile sensor was demonstrated by measuring C-reactive protein (CRP) concentration in human serum samples, accurately covering the high-sensitivity range (0-10µg/mL) and very high concentrations, far exceeding 10µg/mL.

Conference Presentation

Citation Download Citation

Yi Luo, Hyou-Arm Joung, Sarah Esparza, Jingyou Rao, Omai Garner, and Aydogan Ozcan "Quantitative particle agglutination assay for point-of-care sensing using mobile holographic imaging and neural networks", Proc. SPIE PC11950, Optics and Biophotonics in Low-Resource Settings VIII, PC1195004 (7 March 2022); https://doi.org/10.1117/12.2608813

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