Rapid Parallel Search Technology with Scanning Electron Microscope and Artificial Neural Network

Abstract

ABSTRACT It is shown how to prevent and monitor the spread of any respiratory viral outbreaks by precisely and quickly identifying patients and asymptomatic carriers by nano technology. Rapid Parallel Search (RPS) derived from a combination of time-proved methods, hardware and software components such as Scanning Electron Microscopy (SEM), Artificial Neural Network (ANN) and a recognition system similar to ‘Face ID’ from ‘Apple Inc.’. High performance and classification precision (~50 s per test with 99.999% accuracy) for detecting the presence of all known viruses and microorganisms, that are hard or impossible to identify with molecular methods, are achieved through simultaneous automatic testing of hundreds of samples with scanning resolution of 0.5 nm. RPS has sufficient potential for real-time monitoring of all passengers of huge transcontinental airports and daily, precisely supervising of the vast majority of residents of a city with a population of one million or more without reagents. Graphical abstract