ArticleFrontiers in cellular and infection microbiology2021
The Application of Imaging Flow Cytometry for Characterisation and Quantification of Bacterial Phenotypes.
Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 35 citations in OpenAlex.
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- Label-free phenotypic antimicrobial susceptibility testing on microfluidic platforms: a review of advances and translation.Mikrochimica acta · 2025Review
- Spatial microfluidic holographic integrated platform for label-free and high-dimensional analysis of cancer heterogeneity.Nature communications · 2025Article
- Stain-free artificial intelligence-assisted light microscopy for the identification of blood cells in microfluidic flow.Frontiers in bioinformatics · 2025Article
- A Comprehensive Study on Enhancing Microbicidal Activity of Pure and Ion-Exchanged Zeolites Through Structural and Chemical Determinants.IET nanobiotechnology · 2025Review
- Molecular mechanism and application of emerging technologies in study of bacterial persisters.BMC microbiology · 2024Review
- Characterization ofMicroorganisms · 2024Article
- High-speed optical imaging with sCMOS pixel reassignment.Nature communications · 2024Article
- Imaging Flow Cytometry: Development, Present Applications, and Future Challenges.Methods and protocols · 2024Review
- Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis.Nature communications · 2024Article
- Implementation of Fluorescent-Protein-Based Quantification Analysis in L-Form Bacteria.Bioengineering (Basel, Switzerland) · 2024Article
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- Contribution of the infection ecosystem and biogeography to antibiotic failure in vivo.npj antimicrobials and resistance · 2024Review
- Metabolomic Differences between Viable but Nonculturable and RecoveredFoods (Basel, Switzerland) · 2023Article
- Cell Sorting-Directed Selection of Bacterial Cells in Bigger Sizes Analyzed by Imaging Flow Cytometry during Experimental Evolution.International journal of molecular sciences · 2023Article
- Methods for detection and identification of beer-spoilage microbes.Frontiers in microbiology · 2023Review
- Artificial intelligence in imaging flow cytometry.Frontiers in bioinformatics · 2023Article
- Could the tumor-associated microbiota be the new multi-faceted player in the tumor microenvironment?Frontiers in oncology · 2023Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacteria modify their morphology in response to various factors including growth stage, nutrient availability, predation, motility and long-term survival strategies. Morphological changes may also be associated with specific physiological phenotypes such as the formation of dormant or persister cells in a "viable but non-culturable" (VBNC) state which frequently display different shapes and size compared to their active counterparts. Such dormancy phenotypes can display various degrees of tolerance to antibiotics and therefore a detailed understanding of these phenotypes is crucial for combatting chronic infections and associated diseases. Cell shape and size are therefore more than simple phenotypic characteristics; they are important physiological properties for understanding bacterial life-strategies and pathologies. However, quantitative studies on the changes to cell morphologies during bacterial growth, persister cell formation and the VBNC state are few and severely constrained by current limitations in the most used investigative techniques of flow cytometry (FC) and light or electron microscopy. In this study, we applied high-throughput Imaging Flow Cytometry (IFC) to characterise and quantify, at single-cell level and over time, the phenotypic heterogeneity and morphological changes in cultured populations of four bacterial species,
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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.