Cristina García‐Timermans

This paper introduces a cost-effective flow cytometry approach to predict antimicrobial mechanisms of action using random forest classifiers trained on phenotypic fingerprints.

This paper quantifies single-cell phenotypic diversity in microbial communities using Raman spectroscopy and the Hill diversity framework to study stress-induced changes.