ArticleMicrobiology (Reading, England)2018
Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis.
Article in Microbiology (Reading, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Characterizing the performance of an antibiotic resistance prediction tool, gnomonicus, using a diverse test set of 2,663Microbial genomics · 2025Article
- An improved catalogue for whole-genome sequencing prediction of bedaquiline resistance inMicrobial genomics · 2025Article
- Predicting rifampicin resistance inERJ open research · 2025Article
- Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.Computational and structural biotechnology journal · 2025Article
- Compensatory mutations are associated with increasedMicrobial genomics · 2024Article
- Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach.Nature communications · 2024Article
- Quantitative measurement of antibiotic resistance inResearch square · 2023Article
- Reply: Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing ofThe European respiratory journal · 2023Article
- Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis.The Lancet. Microbe · 2023Article
- Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing ofThe European respiratory journal · 2022Article
- A data compendium associating the genomes of 12,289 Mycobacterium tuberculosis isolates with quantitative resistance phenotypes to 13 antibiotics.PLoS biology · 2022Article
- Article
- New perspectives on an ancient pathogen: thoughts for World Tuberculosis Day 2022.Microbiology (Reading, England) · 2022Article
- Innovative and rapid antimicrobial susceptibility testing systems.Nature reviews. Microbiology · 2020Review
- Implementation of Microfluidics for Antimicrobial Susceptibility Assays: Issues and Optimization Requirements.Frontiers in cellular and infection microbiology · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors.
Funding
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 dilutions of 14 anti-tuberculosis drugs, thereby permitting the MICs to be elucidated. The three participating laboratories each inoculated 38 96-well plates with 15 known M. tuberculosis strains (including the standard H37Rv reference strain) and, after 2 weeks' incubation, measured the MICs for all 14 drugs on each plate and took a photograph. By analysing the images, we demonstrate that AMyGDA is reproducible, and that the MICs measured are comparable to those measured by a laboratory scientist. The AMyGDA software will be used by the Comprehensive Resistance Prediction for Tuberculosis: an International Consortium (CRyPTIC) to measure the drug susceptibility profile of a large number (>30000) of samples of M. tuberculosis from patients over the next few years.
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