Microscopy data, analysis code, and segmentation models for Phenotypic drug susceptibility testing for Mycobacterium tuberculosis variant bovis BCG in 12-hour

The study aimed to improve the speed of drug susceptibility testing for tuberculosis (TB), particularly drug-resistant strains. Current phenotypic drug susceptibility testing (pDST) methods take at least two weeks. This study used microfluidic chips, microscopy, and deep...

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Bibliographic Details
Main Author:	Buu Minh Tran (19530787) (author)
Other Authors:	Jimmy Larsson (205141) (author), Anastasia Grip (19530890) (author), Praneeth Karempudi (13721170) (author), Johan Elf (14662547) (author)
Published:	2025
Subjects:	Bacteriology Infectious agents Deep neural network Drug resistance microfluidic chip M. bovis BCG M. smegmatis phenotypic antibiotic susceptibility test phenotypic drug susceptibility tests single-cell imaging tuberculosis antimicrobial susceptibility testing (AST) Antimicrobial resistance
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<b>Microscopy data, analysis code, and segmentation models for Phenotypic drug susceptibility testing for </b><b><i>Mycobacterium tuberculosis </i></b><b>variant</b><b><i> bovis </i></b><b>BCG in </b><b>12-hour </b>

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