Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples.
Sci Rep
; 11(1): 16201, 2021 08 10.
Article
in English
| MEDLINE | ID: covidwho-1351977
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Image Processing, Computer-Assisted
/
Lentivirus Infections
/
Spectroscopy, Near-Infrared
/
Molecular Diagnostic Techniques
Type of study:
Diagnostic study
Limits:
Humans
Language:
English
Journal:
Sci Rep
Year:
2021
Document Type:
Article
Affiliation country:
S41598-021-95756-3
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