We present a rapid, stain-free, and automated viral plaque assay utilizing deep learning and time-lapse holographic imaging, which can significantly reduce the time needed for plaque-forming unit (PFU) detection and entirely bypass the chemical staining and manual counting processes. Demonstrated with vesicular stomatitis virus (VSV), our system identified the first PFU events as early as 5 hours of incubation and detected >90% of PFUs with 100% specificity in <20 hours, saving >24 hours compared to the traditional viral plaque assays that take ≥48 hours. Furthermore, our method was proven to adapt seamlessly to new types of viruses by transfer learning.
We present a stain-free, rapid, and automated viral plaque assay using deep learning and holography, which needs significantly less sample incubation time than traditional plaque assays. A portable and cost-effective lens-free imaging prototype was built to record the spatio-temporal features of the plaque-forming units (PFUs) during their growth, without the need for staining. Our system detected the first cell lysing events as early as 5 hours of incubation and achieved >90% PFU detection rate with 100% specificity in <20 hours, saving >24 hours compared to the traditional viral plaque assays that take ≥48 hours.
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