T. C. Elston

The paper uses advanced microscopy techniques to characterize the structure of phagocytic podosomes during frustrated phagocytosis, revealing their unique actin architecture and associated protein distributions.

This paper uses deep learning to improve structured illumination microscopy, reducing image requirements and enabling low-light, high-speed super-resolution imaging.

This study develops stochastic computational tools to analyze cell migration states, revealing two distinct migration states in MEFs and HeLa cells, linked to RhoG and Rac1 activity.

The paper derives a saturation rule that predicts whether Rho-GTPase systems will produce uni-polar or multi-polar outcomes based on competition timescales.