ArticleCommunications biology2019
High-throughput time-resolved morphology screening in bacteria reveals phenotypic responses to antibiotics.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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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
29 citing papers in PubMed, 48 citations in OpenAlex.
- Phenotypic high-throughput screening identifies modulators of gut microbial choline metabolism.mBio · 2026Article
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- Lineage-dependent variations in single-cell antibiotic susceptibility reveal the selective inheritance of phenotypic resistance in bacteria.Nature communications · 2025Article
- Individual-based modeling unravels spatial and social interactions in bacterial communities.The ISME journal · 2025Review
- HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA.Frontiers in microbiology · 2025Article
- Emerging tools and best practices for studying gut microbial community metabolism.Nature metabolism · 2024Review
- Growth Independent Morphometric Machine Learning Workflow for Single-Cell Antimicrobial Susceptibility Testing ofFrontiers in imaging (Lausanne, Switzerland) · 2024Article
- Chemical genetic approaches for the discovery of bacterial cell wall inhibitors.RSC medicinal chemistry · 2023Review
- High-throughput functional genomics: A (myco)bacterial perspective.Molecular microbiology · 2023Review
- The pharmacokinetic-pharmacodynamic modelling framework as a tool to predict drug resistance evolution.Microbiology (Reading, England) · 2023Article
- Cell shape characterization, alignment, and comparison using FlowShape.Bioinformatics (Oxford, England) · 2023Article
- Mapping single-cell responses to population-level dynamics during antibiotic treatment.Molecular systems biology · 2023Article
- Targeting the human gut microbiome with small-molecule inhibitors.Nature reviews. Chemistry · 2023Review
- Quantitative Analysis of Microscopy Data to Evaluate Bacterial Responses to Antibiotic Treatment.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks.BMC biology · 2022Article
- YOLO Algorithm for Long-Term Tracking and Detection of Escherichia Coli at Different Depths of Microchannels Based on Microsphere Positioning Assistance.Sensors (Basel, Switzerland) · 2022Article
- Evolving Perspective on the Origin and Diversification of Cellular Life and the Virosphere.Genome biology and evolution · 2022Review
- Elevated Levels of Three Reactive Oxygen Species and Fe(II) in the Antibiotic-Surviving Population of Mycobacteria FacilitateAntimicrobial agents and chemotherapy · 2022Article
- Engineered Cell Line Imaging Assay Differentiates Pathogenic from Non-Pathogenic Bacteria.Pathogens (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image-based high-throughput screening strategies for quantifying morphological phenotypes have proven widely successful. Here we describe a combined experimental and multivariate image analysis approach for systematic large-scale phenotyping of morphological dynamics in bacteria. Using off-the-shelf components and software, we established a workflow for high-throughput time-resolved microscopy. We then screened the single-gene deletion collection 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.