ArticleAnalytical chemistry2019
Rapid Antimicrobial Susceptibility Testing of Patient Urine Samples Using Large Volume Free-Solution Light Scattering Microscopy.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 38 citations in OpenAlex.
- Analytical techniques and molecular platforms for detection and surveillance of antimicrobial resistance: advancements of the past decade.3 Biotech · 2025Review
- Next-generation rapid phenotypic antimicrobial susceptibility testing.Nature communications · 2024Review
- Label-Free Optical Imaging of Nanoscale Single Entities.ACS sensors · 2024Review
- Deep Learning-Based Culture-Free Bacteria Detection in Urine Using Large-Volume Microscopy.Biosensors · 2024Article
- Accurate Prediction of Antimicrobial Susceptibility for Point-of-Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Recent Advances in Colorimetric Tests for the Detection of Infectious Diseases and Antimicrobial Resistance.Diagnostics (Basel, Switzerland) · 2023Review
- Moving microcapillary antibiotic susceptibility testing (mcAST) towards the clinic: unravelling kinetics of detection of uropathogenicSensors & diagnostics · 2023Article
- Single-cell pathogen diagnostics for combating antibiotic resistance.Nature reviews. Methods primers · 2023Article
- Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- High-Throughput Screening Identifies Synthetic Peptides with Antibacterial Activity againstACS omega · 2022Article
- 3D-Printed Dip Slides Miniaturize Bacterial Identification and Antibiotic Susceptibility Tests Allowing Direct Mastitis Sample Analysis.Micromachines · 2022Article
- Article
- Specific and rapid reverse assaying protocol for detection and antimicrobial susceptibility testing of Pseudomonas aeruginosa based on dual molecular recognition.Scientific reports · 2021Article
- Rapid Antimicrobial Susceptibility Testing on Clinical Urine Samples by Video-Based Object Scattering Intensity Detection.Analytical chemistry · 2021Article
- Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events.Small (Weinheim an der Bergstrasse, Germany) · 2020Article
- Rapid Determination of Antimicrobial Susceptibility by Stimulated Raman Scattering Imaging of DAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Microfluidic systems for rapid antibiotic susceptibility tests (ASTs) at the single-cell level.Chemical science · 2020Review
- Differential DNA accessibility to polymerase enables 30-minute phenotypic β-lactam antibiotic susceptibility testing of carbapenem-resistant Enterobacteriaceae.PLoS biology · 2020Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
The emergence of antibiotic resistance has prompted the development of rapid antimicrobial susceptibility testing (AST) technologies that will enable evidence-based treatment and promote antimicrobial stewardship. To date, many rapid AST methods have been developed, but few are able to be performed on clinical samples directly. Here we developed a large volume light scattering microscopy technique that tracks phenotypic features of single bacterial cells directly in clinical urine samples without sample enrichment or culturing. The technique demonstrated rapid (90 min) detection of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.