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Leila Muresan is a Senior Research Associate in the Department of Physiology, Development and Neuroscience at the University of Cambridge. Her work focuses on designing and implementing microscopy image analysis solutions, specifically in the evolving fields of image processing and computer vision. She utilizes statistical variational methods for image analysis, allowing for systematic quantitative analysis of microscopy images. Muresan's research involves nanoscopy and light sheet image analysis, both supported by the Cambridge Advanced Imaging Centre. Her work in single molecule localization microscopy enables imaging at tens of nanometer resolution, with sophisticated data extraction techniques applied through computer vision and spatial statistical approaches. In the light sheet image analysis area, she employs a minimal illumination method that facilitates long-term imaging, resulting in large datasets requiring minimal human intervention for analysis. Typical tasks she undertakes include segmentation, tracking, and rapid multi-view image reconstruction alongside restoration based on spatially variant deblurring models tailored to specific light sheet image formation techniques.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.