ArticleJournal of clinical microbiology2013
Real-time optical antimicrobial susceptibility testing.
Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 122 citations in OpenAlex.
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- An automated workflow for fungal cell counting, cell size and data analysis: enhancing throughput and accuracy with the cell analysis and counting tool using ilastik software (caactus).BMC microbiology · 2026Article
- Probiotic characteristics and survival of a multi-strain lactic acid bacteria consortium in simulated gut model.Folia microbiologica · 2025Article
- Digital holographic microscopy for rapid bacteria segmentation and counting in microfluidic cartridges: basic considerations and limitations for diagnostic application.Journal of biomedical optics · 2025Article
- Multipad agarose plate: a rapid and high-throughput approach for antibiotic susceptibility testing.Journal of the Royal Society, Interface · 2024Article
- Relative quantification of the recA gene for antimicrobial susceptibility testing in response to ciprofloxacin for pathogens of concern.Scientific reports · 2024Article
- Adaptive laboratory evolution ofFrontiers in microbiology · 2023Article
- Why do lactic acid bacteria thrive in chain elongation microbiomes?Frontiers in bioengineering and biotechnology · 2023Article
- Inter- and intra-species heterogeneity in germination of Aspergillus conidia.Antonie van Leeuwenhoek · 2022Article
- Novel Treatment Approach for Aspergilloses by Targeting Germination.Journal of fungi (Basel, Switzerland) · 2022Review
- Saccharomyces cerevisiae does not undergo a quorum sensing-dependent switch of budding pattern.Scientific reports · 2022Article
- Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility Testing.Antibiotics (Basel, Switzerland) · 2022Review
- Antimicrobial Susceptibility Testing: A Comprehensive Review of Currently Used Methods.Antibiotics (Basel, Switzerland) · 2022Review
- Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium.Journal of visualized experiments : JoVE · 2022Article
- A preliminary investigation into bacterial viability using scanning electron microscopy-energy-dispersive X-ray analysis: The case of antibiotics.Frontiers in microbiology · 2022Article
- Paving the way for precise diagnostics of antimicrobial resistant bacteria.Frontiers in molecular biosciences · 2022Review
- Investigation of antifungal response of NiO and copper-doped NiO thin films against Aspergillus niger and Macrophomina phaseolina fungi.Environmental science and pollution research international · 2022Article
- Lab-on-a-disk extraction of PBMC and metered plasma from whole blood: An advanced event-triggered valving strategy.Biomicrofluidics · 2021Article
- Beating the Bio-Terror Threat with Rapid Antimicrobial Susceptibility Testing.Microorganisms · 2021Review
- Recent Advances in the Detection of Antibiotic and Multi-Drug ResistantInternational journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid antibiotic susceptibility testing is in high demand in health care fields as antimicrobial-resistant bacterial strains emerge and spread. Here, we describe an optical screening system (oCelloScope) which, based on time-lapse imaging of 96 bacteria-antibiotic combinations at a time, introduces real-time detection of bacterial growth and antimicrobial susceptibility with imaging material to support the automatically generated graphs. Automated antibiotic susceptibility tests of a monoculture showed statistically significant antibiotic effects within 6 min and within 30 min in complex samples from pigs suffering from catheter-associated urinary tract infections. The oCelloScope system provides a fast high-throughput screening method for detecting bacterial susceptibility that might entail an earlier diagnosis and introduction of appropriate targeted therapy and thus combat the threat from multidrug-resistant pathogenic bacteria. The oCelloScope system can be employed for a broad range of applications within bacteriology and might present new vistas as a point-of-care instrument in clinical and veterinary settings.
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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.