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The Team

Kevin O'Holleran


Kevin O'Holleran heads the development of the light microscopes at CAIC. Kevin joined the centre from the National Physical Laboratory where he used his expertise as an optical physicist and mathematical modeler to design and build super resolution microscopes. Primarily he and his team will focus on the development of fluorescence light sheet microscopes and analysis of the vast quantities of data produced. Kevin also oversees a number of collaborations which will see STED and 3D localisation super resolution microscopes developed for the centre.

Leila Muresan 

Scientific Software Engineer

Leila Mureșan joined CAIC from the Centre de Génétique Moléculaire in Gif-sur-Yvette. As a Scientific Software Engineer her expertise in image processing and data analysis will be crucial in building the infrastructure and algorithms required to fully exploit the capabilities of our light sheet microscopes.

Martin O. Lenz 

Imaging Research Associate

Martin O. Lenz joined the centre from Institute of Neuroscience in Bordeaux, where he developed and applied various super-resolution microscopy techniques. He worked in several postdoctoral and engineering positions (University of Chicago, Imperial College London, IINS Bordeaux) developing and applying various leading edge microscopy technologies. His expertise in optical physics as well as the experience working in interdisciplinary teams will help to fulfil the centres mission.  

Ruth Sims

PhD Student

CAIC's first PhD student is Ruth Sims who is building a light sheet microscope with high throughput capabilities for cancer research applications. Ruth is affiliated with the centre for doctoral training in Photonic Systems Development and gained her bachelors degree in Mathematics and Physics from Durham University.

Sohaib Abdul Rehman

PhD Student

Sohaib is exploring super resolution 'beyond the coverslip' through modelling light propagation and adaptive optics. Through a better understanding of the effect the light path has on the point spread function of a system super resolution techniques can be made to work deeper into thick specimens.