Scientists at the University of Oxford have developed what it detects to detect and identify the virus in less than five minutes, which can help test at airports and revive airline, tourism and other sectors Can help to do.
The method, published on the preceding server MedRxiv, is able to differentiate with high-accuracy SARS-CoV-2 viruses responsible for Kovid-19 from negative clinical samples, as well as coronaviruses from other common respiratory pathogens such as influenza and seasonal humans. .
The university said on Thursday that working directly on sore throats from Kovid-19 patients, without the need for genome extraction, purification, or amplification of the virus, the method began with rapid labeling of virus particles in samples with small fluorescent DNA strands it happens.
A microscope is then used to collect images of the sample, with each image containing hundreds of fluency-labeled viruses. Machine-learning software quickly and automatically identifies viruses present in the sample.
Scientists hope to begin product development in early 2021, and an approved device is available within six months of that time.
This approach exploits the fact that different virus types have differences in their fluorescence labeling due to differences in their surface chemistry, size, and shape, the university said.
The test uses a convoluted neural network to classify microscopy images of single axial particles of various viruses.
The scientists worked with clinical colleagues at John Radcliffe Hospital in Oxford to validate the assay on Kovid-19 patient samples, which were confirmed by conventional RT-PCR methods.
Akilis Kapanidis of the Physics Department said: “Unlike other techniques that detect a delayed antibody response or that require expensive, tedious, and time-consuming sample preparation, our method rapidly detects intact virus particles. ; Earthquake is simple, extremely fast, and cost effective. “
Researchers aim to develop an integrated device that will eventually be used for testing in sites such as businesses, music venues, airports, to install and protect Kovid-19 free locations.
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