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Researchers have developed an automatic model of the viral plaque assay, the gold-standard technique for detecting and quantifying viruses. The brand new technique makes use of time-lapse holographic imaging and deep studying to drastically cut back detection time and get rid of staining and handbook counting. This advance may assist streamline the event of latest vaccines and antiviral medicine.
Yuzhu Li from Ozcan Lab on the College of California, Los Angeles (UCLA), will current this analysis at Frontiers in Optics + Laser Science (FiO LS), which will probably be held 9 — 12 October 2023 on the Better Tacoma Conference Heart in Tacoma (Better Seattle Space), Washington.
“By reducing down the detection time in comparison with conventional viral plaque assays, this method may assist expedite vaccine and drug growth analysis by considerably lowering the detection time wanted and eliminating chemical staining and handbook counting completely, explains Li. “Within the occasion of a brand new virus outbreak, vaccines or antiviral remedies may very well be developed, examined, and made obtainable to the general public at a considerably accelerated fee, leading to a quicker response time to virus-induced well being emergencies.”
Though the viral plaque assay is an economical strategy to assess virus infectivity and quantify the quantity of a virus in a pattern, it’s time consuming to carry out. Samples are first diluted after which added to cultured cells. If the virus kills the contaminated cells, a area freed from cells — a plaque — develops. Consultants then manually rely the stained plaque-forming models (PFUs), a course of that’s inclined to staining irregularities and human counting errors.
The brand new stain-free automated viral plaque assay system replaces handbook plaque counting with a lens-free holographic imaging system that photographs the spatiotemporal options of PFUs throughout incubation. A deep studying algorithm is then used to detect, classify and find PFUs primarily based on adjustments noticed.
To point out the efficacy of their system, the researchers contaminated cultured cells with the Vesicular stomatitis virus. After simply 20 hours of incubation, the automated system detected greater than 90% of the viral PFUs with none false positives. This was a lot quicker than the standard plaque assay, which requires 48 hours of incubation for this virus. In addition they utilized the automated strategy to herpes simplex virus type-1 and encephalomyocarditis virus. They demonstrated even shorter incubation occasions for these viruses, saving a mean of round 48 and 20 hours, respectively.
The researchers report that no false positives had been detected throughout all time factors. As well as, as a result of the system can establish particular person PFUs throughout their early development, earlier than the formation of PFU clusters, it may be used to investigate viral samples with about 10 occasions larger virus concentrations than conventional approaches.
“As for the following steps, UCLA researchers are enhancing their system design to additional enhance its sensitivity and specificity for varied forms of viruses, paving the best way for broad adoption in laboratory and industrial settings, mentioned Li. “They’re additionally exploring different potential functions of this method in virology analysis for high-throughput and cost-effective screening of antiviral medicine.”
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