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Here we present a point-of-care biosensor for the diagnosis and quantification of SARS-CoV-2 using a simple agglutination assay, portable lens-free holographic microscopy, and machine learning. We achieve a sensitivity near that of traditional PCR methods within 3 hours and with a simple 1- or 2-step assay. This sensor is capable of quantifying complex samples consisting of large viral particles and cell debris through its machine learning algorithm, implicating its use as an assay for similarly complex human samples.
Colin J. Potter,Yanmei Hu,Zhen Xiong,Jun Wang, andEuan McLeod
"Point-of-care sensing of SARS-CoV-2 using lens free holographic microscopy and deep learning (Conference Presentation)", Proc. SPIE PC12387, Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics, PC1238709 (16 March 2023); https://doi.org/10.1117/12.2649222
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Colin J. Potter, Yanmei Hu, Zhen Xiong, Jun Wang, Euan McLeod, "Point-of-care sensing of SARS-CoV-2 using lens free holographic microscopy and deep learning (Conference Presentation)," Proc. SPIE PC12387, Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics, PC1238709 (16 March 2023); https://doi.org/10.1117/12.2649222