Use of high-content analysis and machine learning to characterize complex microbial samples via morphological analysis.

Use of high-content analysis and machine learning to characterize complex microbial samples via morphological analysis.

High Content Analysis (HCA) has become a cornerstone of cellular analysis within the drug discovery industry. To expand the capabilities of HCA, we have applied the same analysis methods, validated in numerous mammalian cell models, to microbiology methodology. Image acquisition and analysis of vari...

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Bibliographic Details
Main Authors: Jennifer Petitte, Michael Doherty, Jacob Ladd, Cassandra L Marin, Samuel Siles, Vanessa Michelou, Amanda Damon, Erin Quattrini Eckert, Xiang Huang, John W Rice
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0222528

Internet

https://doi.org/10.1371/journal.pone.0222528

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