For a 96-well plate, the machine could capture and display all images in less than 1 min. The hardware is relatively simple to set up, affordable, portable, and automatically acquires a single image or multiple images from a multiwell plate for users. ![]() The machine consists of two major systems: hardware for image acquisition and ML-based software for image viral plaque counting. There is a need to reduce the workload in plaque counting and for a machine to read virus plaque assay thus, herein, we developed a machine-learning (ML)-based automated quantification machine for viral plaque counting. Manual counting plaques are time-consuming and subjective. One of the complex steps of plaque assay is the counting of the number of viral plaques in multiwell plates to study and evaluate viruses. The plaque assay is a standard quantification system in virology for verifying infectious particles.
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