Single molecule-based super-resolution microscopy
In ultra-high resolution Microscopy (PALM and STORM), we image biological structures and processes at length scales far below the optical diffraction limit of a few hundred nanometers. In this project we address the technical limitations using (combinations of) new approaches, and we develop new holistic model-based data analysis strategies. We aim to achieve resolution of one nanometer by developing single particle analysis tools in order to make dynamic super-resolution imaging a valid method for studying mobile protein clusters in live cells.
Structural geometry and shape statistics
We construct reconstruction algorithms in ultra-high resolution microscopy for PALM and STORM imaging systems for the analysis of biosystems. Mathematically, the data are different modes of protomers. The techniques used here are methods from shape statistics and denoising. In order to reconstruct the statistics of the geometries of the oligomers in a cell, we have to take into account their symmetries.
From Subproject: Tomography with Uncertainties
Computational Science Center
1090 Vienna, Austria
Professor of Mathematics
Head of the Computational Science Center
From Subproject: Ultra-high Resolution Microscopy
Institute of Applied Physics – Biophysics
1060 Vienna, Austria
Professor at the Institute of Applied Physics