Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

23 Oct 2018

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bacterial Identification and Susceptibility Testing
Share to Mycobacterium research and diagnosis
Share to Tuberculosis Research and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30351270
DOI: 10.1099/mic.0.000733

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosisPMID 30351270Read ↗

ODELAM: Rapid sequence-independent detection of drug resistance in clinical isolates of Mycobacterium tuberculosisSemantic proximity Read ↗

Validating a 14-drug microtitre plate containing bedaquiline and delamanid for large-scale research susceptibility testing of <i>Mycobacterium tuberculosis</i>Semantic proximity Read ↗

Rapid culture-based methods for drug-resistance detection in Mycobacterium tuberculosis.Semantic proximity Read ↗

Phenotypic drug susceptibility testing for Mycobacterium tuberculosis variant bovis BCG in 12 hoursSemantic proximity Read ↗

12-hour phenotypic drug susceptibility testing for Mycobacterium tuberculosis variant bovis BCGSemantic proximity Read ↗

A microscopic phenotypic assay for the quantification of intracellular mycobacteria adapted for high-throughput/high-content screening.Semantic proximity Read ↗

Sensititre MYCOTB MIC Plate for Testing Mycobacterium tuberculosis Susceptibility to First- and Second-Line DrugsSemantic proximity Read ↗

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes.Semantic proximity Read ↗

Simplified Automated Image Analysis for Detection and Phenotyping of Mycobacterium tuberculosis on Porous Supports by Monitoring Growing MicrocoloniesSemantic proximity Read ↗

One-day phenotypic drug susceptibility testing for <i>Mycobacterium tuberculosis</i> variant <i>bovis</i> BCG using single-cell imaging and a deep neural networkSemantic proximity Read ↗

An integrated surrogate model for screening of drugs against Mycobacterium tuberculosisSemantic proximity Read ↗

Serial image analysis of Mycobacterium tuberculosis colony growth reveals a persistent subpopulation in sputum during treatment of pulmonary TB.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.