Jack Peyton (He/Him)

Current Research:

MINFLUX: Developing Statistical tools to Automate Next Generation single molecule imagining analysis in 3D. 

Fluorescence microscopy is a cornerstone of modern biological imaging, enabling researchers to visualise and study cellular structures with high specificity. MINFLUX achieves 1-3nm scale resolution by utilising a donut shaped laser to minimise the photon flux required for imaging, instead opting to track the absence of a signal as opposed to the signal itself, thereby reducing the photo-bleaching of the sample and allowing for real-time tracking of dynamic biological processes.

Working closely with STFC, this project aims to develop robust statistical methods by which to identify and analyse the molecular structures resulting from MINFLUX imaging. The methodologies and tools developed in this project will help to overcome a major roadblock in this technique, and accelerate discoveries in cell biology and neuroscience.

Biography:

I studied my undergraduate degree here at Queen's, where I wrote my dissertation on molecular dynamics of the crystal structure of glucose under high temperatures, graduating with an MSci in Mathematics in summer 2024. I began my PhD in October 2024.

Research Interests:

• Spatial Statistics
• Point Pattern Processes
• Machine Learning
• Fluorescence Microscopy

Pure Profile:

https://pure.qub.ac.uk/en/persons/jack-peyton

Supervisors:

Dr Hannah Mitchell, Dr Benjamin Davis (STFC) and Dr Daniel Rolfe (STFC)