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Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Sci+Rep 2022 ; 12 (1): 2356 Nephropedia Template TP
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Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept #MMPMID35181702
Gomez-Gonzalez E; Barriga-Rivera A; Fernandez-Munoz B; Navas-Garcia JM; Fernandez-Lizaranzu I; Munoz-Gonzalez FJ; Parrilla-Giraldez R; Requena-Lancharro D; Gil-Gamboa P; Rosell-Valle C; Gomez-Gonzalez C; Mayorga-Buiza MJ; Martin-Lopez M; Munoz O; Gomez-Martin JC; Relimpio-Lopez MI; Aceituno-Castro J; Perales-Esteve MA; Puppo-Moreno A; Garcia-Cozar FJ; Olvera-Collantes L; Gomez-Diaz R; de Los Santos-Trigo S; Huguet-Carrasco M; Rey M; Gomez E; Sanchez-Pernaute R; Padillo-Ruiz J; Marquez-Rivas J
Sci Rep 2022[Feb]; 12 (1): 2356 PMID35181702show ga
Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in the visible and near-infrared range for primary screening at the point-of-care of SARS-CoV-2. We apply spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence to extract information from optical diffuse reflectance measurements from 5 microL fluid samples at pixel, droplet, and patient levels. We discern preparations of engineered lentiviral particles pseudotyped with the spike protein of the SARS-CoV-2 from those with the G protein of the vesicular stomatitis virus in saline solution and artificial saliva. We report a quantitative analysis of 72 samples of nasopharyngeal exudate in a range of SARS-CoV-2 viral loads, and a descriptive study of another 32 fresh human saliva samples. Sensitivity for classification of exudates was 100% with peak specificity of 87.5% for discernment from PCR-negative but symptomatic cases. Proposed technology is reagent-free, fast, and scalable, and could substantially reduce the number of molecular tests currently required for COVID-19 mass screening strategies even in resource-limited settings.