New method uses optics and AI to find viruses faster

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Researchers have developed an automated version of the viral plaque assay, the gold-standard method for detecting and quantifying viruses. The new method uses time-lapse holographic imaging and deep learning to greatly reduce detection time and eliminate staining and manual counting. This advance could help streamline the development of new vaccines and antiviral drugs.

Yuzhu Li from Ozcan Lab at the University of California, Los Angeles , will present this research at Frontiers in Optics + Laser Science , which will be held 9–12 October 2023 at the Greater Tacoma Convention Center in Tacoma , Washington.

"By cutting down the detection time compared to traditional viral plaque assays, this technique might help expedite vaccine and drug development research by significantly reducing the detection time needed and eliminating chemical staining and manual counting entirely," explains Li.

Although the viral plaque assay is a cost-effective way to assess virus infectivity and quantify the amount of a virus in a sample, it is time consuming to perform. Samples are first diluted and then added to cultured cells. If the virus kills the infected cells, a region free of cells—a plaque—develops. Experts then manually count the stained plaque-forming units , a process that is susceptible to staining irregularities and human counting errors.

The new stain-free automated viral plaque assay system replaces manual plaque counting with a lens-free holographic

Source: Education Headlines (educationheadlines.net)

 

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