ASSESSING THE GLOBAL PHYLUM LEVEL DIVERSITY WITHIN THE BACTERIAL DOMAIN: A REVIEW




Development of a Machine Learning-Based Cysticidal Assay and Identification of an Amebicidal and Cysticidal Marine Microbial Metabolite against Acanthamoeba

ABSTRACT Traditional cysticidal assays for Acanthamoeba species revolve around treating cysts with compounds and manually observing the culture for evidence of excystation.This method is time-consuming, labor-intensive, and low throughput.We adapted and Mono LED trained a YOLOv3 machine learning, object detection neural network to recognize Acantha

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