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<jats:title>Abstract</jats:title><jats:p><jats:italic>M. tuberculosis</jats:italic> 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 <jats:italic>M. tuberculosis</jats:italic>, they can be difficult to read and interpret. Here we present a software package, the Automated Mycobacterial Growth Detection Algorithm (<jats:monospace><jats:bold>AMyGDA</jats:bold></jats:monospace>), that measures how much <jats:italic>M. tuberculosis</jats:italic> 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 minimum inhibitory concentrations (MICs) to be elucidated. The two participating laboratories each inoculated ten 96-well plates with the standard H37Rv reference strain and, after two weeks incubation, measured the MICs for all 14 drugs on each plate and took a photograph. By analysing the images, we demonstrate that <jats:monospace><jats:bold>AMyGDA</jats:bold></jats:monospace> is reproducible, and that the MICs measured are comparable to those measured by a laboratory scientist. <jats:monospace><jats:bold>AMyGDA</jats:bold></jats:monospace> 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 (&gt; 30,000) of samples of <jats:italic>M. tuberculosis</jats:italic> from patients over the next few years.</jats:p>

Original publication




Internet publication


Cold Spring Harbor Laboratory

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