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

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 trained a YOLOv3 machine learning, object detection n...

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Detalles Bibliográficos
Autores principales: Shing, Brian, Balen, Mina, Fenical, William, Debnath, Anjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241814/
https://www.ncbi.nlm.nih.gov/pubmed/35467370
http://dx.doi.org/10.1128/spectrum.00077-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9241814/
https://www.ncbi.nlm.nih.gov/pubmed/35467370
http://dx.doi.org/10.1128/spectrum.00077-22

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