Diana Fusco

This study uses time-lapse imaging to analyze phage infection dynamics in bacteria, revealing heterogeneity and its impact on phage fitness.

AutoWrinkleID is a machine learning pipeline for automated biofilm wrinkle detection and quantification, showing that motility-based annotations outperform manual and constitutive fluorescence annotations.

This paper uses agent-based simulations to show that lysis time variability in bacteriophages can provide a fitness advantage in competition, even when reducing growth rate in isolation.

The paper investigates phage fitness metrics in spatial expansions and finds they fail to predict competition outcomes, revealing ecology-dependent trait selection.

This study identifies a novel indole metabolite, I*, produced by TnaA in E. coli using nanoplasmonic SERS, without isolation or purification.

This study correlates genetic expression and electrochemical activity in Bacillus subtilis biofilms, showing electrochemical activity is present in biofilm-forming cells but not in biofilm-deficient mutants.