UK scientists develop extremely rapid diagnostic test for COVID-19

  • Shiaelis N, et al.
  • medRxiv
  • 16 Oct 2020

  • curated by Priscilla Lynch
  • UK Medical News
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Scientists from Oxford University’s Department of Physics have developed an extremely rapid diagnostic test that they say detects and identifies viruses in less than five minutes.

The method, published on the preprint server MedRxiv, is able to differentiate with high accuracy SARS-CoV-2 from negative clinical samples, as well as from other common respiratory pathogens such as influenza and seasonal human coronaviruses.

Working directly on throat swabs from COVID-19 patients, without the need for genome extraction, purification or amplification of the viruses, the method starts with rapid labelling of virus particles in the sample with short fluorescent DNA strands. A microscope is then used to collect images of the sample, with each image containing hundreds of fluorescently labelled viruses.

Machine-learning software quickly and automatically identifies the virus present in the sample. This approach exploits the fact that distinct virus types have differences in their fluorescence labelling due to differences in their surface chemistry, size and shape.

The test uses a convolutional neural network to classify microscopy images of single intact particles of different viruses

The scientists have worked with clinical collaborators at the John Radcliffe Hospital in Oxford to validate the assay on COVID-19 patient samples which were confirmed by conventional reverse transcription-polymerase chain reaction methods.

The researchers aim to develop an integrated device that will eventually be used for testing in sites such as businesses, music venues and airports to establish and safeguard COVID-19-free spaces.

They are currently working with Oxford University Innovation and two external business/finance advisors to set up a spin out, and are seeking investment to accelerate the translation of the test into a fully integrated device to be deployed as a real-time diagnostic platform capable of detecting multiple virus threats.

They hope to incorporate the company by the end of 2020, start product development in early 2021 and have an approved device available within six months of that time.