Published in

American Society for Microbiology, mSystems, 4(6), 2021

DOI: 10.1128/msystems.00508-21

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AMiGA: Software for Automated Analysis of Microbial Growth Assays

Journal article published in 2021 by Firas S. Midani ORCID, James Collins, Robert A. Britton ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

Our current understanding of microbial physiology relies on the simple method of measuring microbial populations’ sizes over time and under different conditions. Many advances have increased the throughput of those assays and enabled the study of nonlab-adapted microbes under diverse conditions that widely affect their growth dynamics.