ReviewmSystems2021
Computational Analysis of Microbial Flow Cytometry Data.
Review in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis.Microbiology spectrum · 2025Article
- Submicron infrared spectroscopy assessment of single-cell phenotypic diversity in microbial lipid production.Microbial cell factories · 2025Article
- Biofilm detachment significantly affects biological stability of drinking water during intermittent water supply in a pilot scale water distribution system.Scientific reports · 2025Article
- Terrestrial-aquatic connectivity structures microbial communities during the formation of thermokarst lakes.ISME communications · 2025Article
- Real-time flow cytometry to assess qualitative and quantitative responses of oral pathobionts during exposure to antiseptics.Microbiology spectrum · 2024Article
- Gradient boosted regression as a tool to reveal key drivers of temporal dynamics in a synthetic yeast community.FEMS microbiology ecology · 2024Article
- Raman cell sorting for single-cell research.Frontiers in bioengineering and biotechnology · 2024Review
- Insights into the enumeration of mixtures of probiotic bacteria by flow cytometry.BMC microbiology · 2023Article
- Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- Exploration of microbiome diversity of stacked fermented grains by flow cytometry and cell sorting.Frontiers in microbiology · 2023Article
- Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity.Frontiers in microbiology · 2022Article
- Automated flow cytometry as a tool to obtain a fine-grain picture of marine prokaryote community structure along an entire oceanographic cruise.Frontiers in microbiology · 2022Article
- Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting.mSystems · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Flow cytometry is an important technology for the study of microbial communities. It grants the ability to rapidly generate phenotypic single-cell data that are both quantitative, multivariate and of high temporal resolution. The complexity and amount of data necessitate an objective and streamlined data processing workflow that extends beyond commercial instrument software. No full overview of the necessary steps regarding the computational analysis of microbial flow cytometry data currently exists. In this review, we provide an overview of the full data analysis pipeline, ranging from measurement to data interpretation, tailored toward studies in microbial ecology. At every step, we highlight computational methods that are potentially useful, for which we provide a short nontechnical description. We place this overview in the context of a number of open challenges to the field and offer further motivation for the use of standardized flow cytometry in microbial ecology research.
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What OpenQuestion holds
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.