Iain B. Styles

This study uses expansion microscopy to quantitatively analyze the structure of platelet aggregates under normal and perturbed conditions.

The paper uses docking and machine learning to identify molecular interactions that determine agonist or antagonist activity of β2 adrenoceptor ligands.

The paper shows that cell-to-cell variations in V2R subcellular localization are independent of expression levels and influenced by cell-specific environments.

This paper presents an analysis workflow for quantifying platelet spreading and morphology using image segmentation and machine learning, with tools available in KNIME and ilastik.

The paper introduces a topological data analysis method for analyzing single molecule localization microscopy data, improving segmentation and quantifying nano-structure.

The paper introduces DNA barcodes for analyzing complex genomic mixtures, enabling identification of specific DNA molecules, strain typing, and virus detection in human genomic backgrounds.