Dylan M. Owen

SynthMLM generates synthetic localisation data for SMLM using interpretable structural descriptors from experimental data, enabling benchmarking and testing of analysis methods.

The paper develops an agent-based simulator to study how nanoscale protein clustering affects cellular signaling responses, showing that clustering can digitize signals and alter cell behavior.

VLab4Mic predicts structural resolvability in super-resolution microscopy by simulating imaging configurations and comparing results to experimental data.

This paper introduces a contrastive learning framework for nanoscale spatial-omics, enabling analysis of single-molecule localisation data to study protein architecture and its changes under various conditions.

Nano-org provides a curated resource of single-molecule localisation microscopy data for studying protein nanoscale distributions and their relationships across cell types and conditions.

This study uses a magnetic particle-based platform to mechanically modulate T-cell receptors, showing that NFAT pathway signaling accumulation is required for CD4+ T cell activation.

This paper introduces TOBLERONE, a topological image analysis tool for automated cell segmentation and membrane order quantification using confocal microscopy images.

The paper introduces an agent-based model to simulate molecular aggregation at the plasma membrane, showing it can recapitulate observed distributions using simple rules.