Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples
Field | Value | Language |
dc.contributor.author | Gomez-Gonzalez, Emilio | en_AU |
dc.contributor.author | Fernandez-Muñoz, Beatriz | en_AU |
dc.contributor.author | Barriga-Rivera, Alejandro | en_AU |
dc.contributor.author | Navas-Garcia, Jose Manuel | en_AU |
dc.contributor.author | Fernandez-Lizaranzu, Isabel | en_AU |
dc.contributor.author | Munoz-Gonzalez, Francisco Javier | en_AU |
dc.contributor.author | Parrilla-Giraldez, Ruben | en_AU |
dc.contributor.author | Requena-Lancharro, Desiree | en_AU |
dc.contributor.author | Guerrero-Claro, Manuel | en_AU |
dc.contributor.author | Gil-Gamboa, Pedro | en_AU |
dc.contributor.author | Rosell-Valle, Cristina | en_AU |
dc.contributor.author | Gomez-Gonzalez, Carmen | en_AU |
dc.contributor.author | Mayorga-Buiza, Maria Jose | en_AU |
dc.contributor.author | Martin-Lopez, Maria | en_AU |
dc.contributor.author | Muñoz, Olga | en_AU |
dc.contributor.author | Martin, Juan Carlos Gomez | en_AU |
dc.contributor.author | Lopez, Maria Isabel Relimpio | en_AU |
dc.contributor.author | Aceituno-Castro, Jesus | en_AU |
dc.contributor.author | Perales-Esteve, Manuel A. | en_AU |
dc.contributor.author | Puppo-Moreno, Antonio | en_AU |
dc.contributor.author | Cozar, Francisco Jose Garcia | en_AU |
dc.contributor.author | Olvera-Collantes, Lucia | en_AU |
dc.contributor.author | de los Santos-Trigo, Silvia | en_AU |
dc.contributor.author | Gomez, Emilia | en_AU |
dc.contributor.author | Pernaute, Rosario Sanchez | en_AU |
dc.contributor.author | Padillo-Ruiz, Javier | en_AU |
dc.contributor.author | Marquez-Rivas, Javier | en_AU |
dc.date.accessioned | 2021-10-19T02:28:18Z | |
dc.date.available | 2021-10-19T02:28:18Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/2123/26558 | |
dc.description.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. | en_AU |
dc.language.iso | en | en_AU |
dc.subject | COVID-19 | en_AU |
dc.subject | Coronavirus | en_AU |
dc.title | Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples | en_AU |
dc.type | Article | en_AU |
dc.identifier.doi | 10.1038/s41598-021-95756-3 |
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