ArticleJournal of microbiological methods2019
Quantitative assessment of bacterial growth phase utilizing flow cytometry.
Article in Journal of microbiological methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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
3 citing papers in PubMed, 5 citations in OpenAlex.
- Detecting extracellular G4 DNA motifs in biofilms through energy transfer between DNA-binding dyes TOTO™-1 and SYTO™60.Nucleic acids research · 2026Article
- Dynamics of Active Fluorescent Units (AFU) and Water Activity (aFoods (Basel, Switzerland) · 2023Article
- Real-time monitoring of mono- and dual-species biofilm formation and eradication using microfluidic platform.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Flow cytometry is currently underutilized for bacterial phenotyping and standard microbiological techniques do not provide phenotypic information about the state of the bacterial disease. Pseudomonas aeruginosa is a human pathogen of increased importance in public health due to both the ability to cause chronic diseases and the prevalence of functionally different subsets that can be difficult to treat and diagnose. In the present study, we used flow cytometry to analyze the growth phase of P. aeruginosa. A simple method for single cell quantitative detection of bacterial biofilm and planktonic cells was established with a combination of membrane permeable (SYTO 60) and impermeable (TOTO-1) dyes plus the addition of polystyrene counting beads. The specificity of the dye combination for biofilm detection was determined by comparison with impaired biofilm forming strains of P. aeruginosa LasI/RhlI-/- and ∆PfPhage. Results suggest that flow cytometric bacterial phenotyping serves as an expandable platform that may be useful for enumeration of population level variation in P. aeruginosa studies.
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Registered trials
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