Roy D. Welch

This paper uses deep learning to quantify dynamic self-organization in Myxococcus xanthus by encoding microscopy images into interpretable features that predict developmental phenotypes.

This study challenges the traffic jam model of Myxococcus xanthus aggregation by showing streams are not essential for aggregate formation but may accelerate it, with a genetic component to streaming.

This study shows that substrate stiffness affects the collective expansion of Myxococcus xanthus colonies, with adventurous motility playing a key role in sensing and responding to surface stiffness.

The paper uses phenotypic similarity to assess functional redundancy in homologous gene families of Myxococcus xanthus, showing mutant strains cluster by gene family.

The paper develops a deep-learning model to convert phase-contrast images into fluorescence-like images for better analysis of bacterial aggregation and rippling behaviors in Myxococcus xanthus.