ArticleMolecules (Basel, Switzerland)2019
Whole Slide Imaging for High-Throughput Sensing Antibiotic Resistance at Single-Bacterium Level and Its Application to Rapid Antibiotic Susceptibility Testing.
Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Next-generation rapid phenotypic antimicrobial susceptibility testing.Nature communications · 2024Review
- High-Throughput Monitoring of Pathogenic Fungal Growth Using Whole Slide Imaging for Rapid Antifungal Susceptibility Assessment.Analytical letters · 2024Article
- Highly sensitive digital detection of SARS-CoV-2 nucleocapsid protein through single-molecule counting.Analytical and bioanalytical chemistry · 2023Article
- Phase Contrast Image-Based Rapid Antimicrobial Susceptibility Testing of Bacteria in Liquid Culture Media.Sensors (Basel, Switzerland) · 2022Article
- A critical review: Recent advances in "digital" biomolecule detection with single copy sensitivity.Biosensors & bioelectronics · 2021Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Since conventional culture-based antibiotic susceptibility testing (AST) methods are too time-consuming (typically 24-72 h), rapid AST is urgently needed for preventing the increasing emergence and spread of antibiotic resistant infections. Although several phenotypic antibiotic resistance sensing modalities are able to reduce the AST time to a few hours or less, concerning the biological heterogeneity, their accuracy or limit of detection are limited by low throughput. Here, we present a rapid AST method based on whole slide imaging (WSI)-enabled high-throughput sensing antibiotic resistance at single-bacterium level. The time for determining the minimum inhibitory concentration (MIC) was theoretically shortest, which ensures that the growth of each individual cell present in a large population is inhibited. As a demonstration, our technique was able to sense the growth of at least several thousand bacteria at single-cell level. Reliable MIC of
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