Microbial flow cytometry allows to rapidly characterize microbial communities. Recent
research has demonstrated a moderate to strong connection between the cytometric …

Microbial flow cytometry can rapidly characterize the status of microbial communities. Upon
measurement, large amounts of quantitative single-cell data are generated, which need to …

Microbiome management research and applications rely on temporally resolved
measurements of community composition. Current technologies to assess community …

Measuring the microbial diversity in natural and engineered environments is important for
ecosystem characterization, ecosystem monitoring and hypothesis testing. Although the …

Highlights•Large multiparametric flow cytometry data sets are ideal for machine learning.•
Unsupervised clustering methods highlight microbial community changes.•Supervised …

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 …

The study of complex microbial communities typically entails high-throughput sequencing
and downstream bioinformatics analyses. Here we expand and accelerate microbiota …

Background Next-generation sequencing (NGS) has been extensively employed to perform
microbiome characterization worldwide. As a culture-independent methodology, it has …

Cell density is an important factor in all microbiome research, where interactions are of
interest. It is also the most important parameter for the operation and control of most …

Background Flow cytometry (FCM) is a powerful single-cell based measurement method to
ascertain multidimensional optical properties of millions of cells. FCM is widely used in …