A new study by the van der Meer lab demonstrates the concept of fast recognition of different bacterial cell types through machine-learned classification of multiparametric flow cytometry data.
A new study by the van der Meer lab demonstrates the concept of fast recognition of different bacterial cell types through machine-learned classification of multiparametric flow cytometry data. Recognition works on mixtures of known isolates, but classification can be extended to cell type diversity in unknown microbial communities, thereby speeding up analysis of broad community changes to minutes.