1. Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples.
- Author
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Gomez-Gonzalez E, Fernandez-Muñoz B, Barriga-Rivera A, Navas-Garcia JM, Fernandez-Lizaranzu I, Munoz-Gonzalez FJ, Parrilla-Giraldez R, Requena-Lancharro D, Guerrero-Claro M, Gil-Gamboa P, Rosell-Valle C, Gomez-Gonzalez C, Mayorga-Buiza MJ, Martin-Lopez M, Muñoz O, Martin JCG, Lopez MIR, Aceituno-Castro J, Perales-Esteve MA, Puppo-Moreno A, Cozar FJG, Olvera-Collantes L, de Los Santos-Trigo S, Gomez E, Pernaute RS, Padillo-Ruiz J, and Marquez-Rivas J
- Subjects
- HEK293 Cells, Humans, Image Processing, Computer-Assisted standards, Lentivirus isolation & purification, Lentivirus pathogenicity, Lentivirus Infections virology, Molecular Diagnostic Techniques standards, Point-of-Care Systems, Saliva virology, Sensitivity and Specificity, Spectroscopy, Near-Infrared standards, Image Processing, Computer-Assisted methods, Lentivirus Infections diagnosis, Molecular Diagnostic Techniques methods, Spectroscopy, Near-Infrared methods
- Abstract
Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. Recently, near-infrared (NIR) spectroscopy revealed that it is also possible to detect the presence of viruses in animal and vegetal tissues. Here we report a platform based on visible and NIR (VNIR) hyperspectral imaging for non-contact, reagent free detection and quantification of laboratory-engineered viral particles in fluid samples (liquid droplets and dry residue) using both partial least square-discriminant analysis and artificial feed-forward neural networks. The detection was successfully achieved in preparations of phosphate buffered solution and artificial saliva, with an equivalent pixel volume of 4 nL and lowest concentration of 800 TU·[Formula: see text]L
-1 . This method constitutes an innovative approach that could be potentially used at point of care for rapid mass screening of viral infectious diseases and monitoring of the SARS-CoV-2 pandemic., (© 2021. The Author(s).)- Published
- 2021
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