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Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis

Abstract:

M. tuberculosis grows slowly and is challenging to work with experimentally compared with many other bacteria. Although microtitre plates have the potential to enable high-throughput phenotypic testing of M. tuberculosis, they can be difficult to read and interpret. Here we present a software package, the Automated Mycobacterial Growth Detection Algorithm (AMyGDA), that measures how much M. tuberculosis is growing in each well of a 96-well microtitre plate. The plate used here has serial dilu...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1099/mic.0.000733

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Subgroup:
NDM Experimental Medicine
Role:
Author
ORCID:
0000-0003-0912-4483
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Subgroup:
NDM Experimental Medicine
Role:
Author
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More from this funder
Grant:
CRyPTIC consortium 200205/Z/15/Z
More from this funder
Grant:
CRyPTIC consortium 200205/Z/15/Z
More from this funder
Grant:
CRyPTIC consortium 200205/Z/15/Z
Publisher:
Microbiology Society Publisher's website
Journal:
Microbiology Journal website
Volume:
164
Issue:
12
Pages:
1522-1530
Publication date:
2018-10-23
Acceptance date:
2018-09-21
DOI:
EISSN:
1465-2080
ISSN:
1350-0872
Pubs id:
pubs:920797
URN:
uri:955cb61c-ea8f-4293-834f-6e44b9103b87
UUID:
uuid:955cb61c-ea8f-4293-834f-6e44b9103b87
Local pid:
pubs:920797

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