Precision culturomics enabled by unlabeled single-cell morphology and Raman spectra

A machine learning-based framework that enables species-level targeted sorting of single microbial cells from complex microbiome, and should enable detailed morphological, metabolic, and genomic insights into variations in microbial phenotypes at the single-cell level for microbiome studies.