التفاصيل البيبلوغرافية
| العنوان: |
Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples. |
| المؤلفون: |
Gomez-Gonzalez, Emilio, Fernandez-Muñoz, Beatriz, Barriga-Rivera, Alejandro, Navas-Garcia, Jose Manuel, Fernandez-Lizaranzu, Isabel, Munoz-Gonzalez, Francisco Javier, Parrilla-Giraldez, Ruben, Requena-Lancharro, Desiree, Guerrero-Claro, Manuel, Gil-Gamboa, Pedro, Rosell-Valle, Cristina, Gomez-Gonzalez, Carmen, Mayorga-Buiza, Maria Jose, Martin-Lopez, Maria, Muñoz, Olga, Martin, Juan Carlos Gomez, Lopez, Maria Isabel Relimpio, Aceituno-Castro, Jesus, Perales-Esteve, Manuel A., Puppo-Moreno, Antonio |
| المصدر: |
Scientific Reports; 8/10/2021, Vol. 11 Issue 1, p1-12, 12p |
| مصطلحات موضوعية: |
LENTIVIRUS diseases, HYPERSPECTRAL imaging systems, IMAGE processing, BIOFILMS, VIRUS diseases, SARS-CoV-2 |
| مستخلص: |
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· μ 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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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