J. Griffie

Event-driven acquisition for content-enriched microscopy

The paper introduces an event-driven acquisition framework that enhances microscopy by capturing dynamic biological events with optimized imaging rates.

A framework for evaluating the performance of SMLM cluster analysis algorithms

The paper evaluates SMLM cluster analysis algorithms using ARI and IoU metrics across simulated scenarios to establish a standard framework for future algorithm development.

Correction of multiple-blinking artefacts in photoactivated localisation microscopy

This paper corrects multiple-blinking artefacts in PALM data using model-based clustering and calibration-free blinking dynamics estimation, enabling accurate quantification of fluorophore clustering.

Virtual-SMLM, a virtual environment for real-time interactive SMLM acquisition

Virtual-SMLM provides a virtual environment for real-time interactive single molecule localisation microscopy acquisition, enabling training and validation of automated methods with realistic simulated data.

Multi-colour DNA-qPAINT reveals how Csk nano-clusters regulate T-cell receptor signalling

The paper uses DNA-qPAINT to study Csk nano-clusters in T-cells, finding they regulate signaling by re-recruiting after stimulation and interacting with PTPN22.

Differential nanoscale organisation of LFA-1 modulates T cell migration

The paper shows that differential nanoscale organisation of LFA-1 in T-cells modulates migration speed by linking actin flow and signaling.

Machine-learning for cluster analysis of localization microscopy data.

The paper develops a supervised machine-learning approach to cluster analysis of localization microscopy data, demonstrating its effectiveness on simulated and experimental datasets.