Kevin L. Scrudders

This study shows degranulation in T cells is regulated by physical and chemical factors, with insoluble particles transported directionally and CAR T cells having impaired particle centralization.

The paper develops a peptide-based sensor to measure PI(4,5)P2 densities in membranes, showing mutation-specific changes in surface levels in cells with Ras mutations.

This study investigates CAR T cell cytotoxic responses, showing they are sensitive to TCR interactions and can be modulated by inhibitory peptides.

The paper develops a mechanistic model to predict CAR T cell killing of tumor cells based on contact dynamics and extracts parameters that determine killing efficiency and tumor resilience.

This paper develops a framework for simultaneous particle tracking, phase retrieval, and PSF reconstruction to improve 3D tracking of lytic granules in T cells.

SPTnet is a deep learning framework that improves single-particle tracking by directly inferring trajectories and motion parameters from microscopy videos, outperforming traditional methods in challenging conditions.