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An Efficient High-Throughput Screening of High Gentamicin-Producing Mutants Based on Titer Determination Using an Integrated Computer-Aided Vision Technology and Machine Learning
Author(s) -
XiaoFeng Zhu,
Congcong Du,
Ali Mohsin,
Qian Yin,
Feng Xu,
Zebo Liu,
Zejian Wang,
Yingping Zhuang,
Ju Chu,
Meijin Guo,
Xiwei Tian
Publication year - 2022
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.2c02289
Subject(s) - throughput , titer , yield (engineering) , high throughput screening , mutant , chemistry , process (computing) , gentamicin , biological system , artificial intelligence , machine learning , computer science , biology , biochemistry , antibody , telecommunications , materials science , antibiotics , metallurgy , gene , immunology , wireless , operating system

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