Forschungseinheiten

Research units: High-tech methods

High-Tech-Methoden

Electron Microscopic Techniques

Electron microscopy allows visualizing finest structures within cells. This forms the basis for understanding how proteins interact to fulfil their functions. Our goal is to establish cutting-edge methods in electron microscopy. The research unit focuses on 3D techniques at several scales: first, stereology allows to obtain three dimensional information from thin sections. Second, 3D – scanning electron microscopy – a newly developed procedure – allows visualizing large tissue volumes in detail. Third, electron tomography allows 3D reconstructiong of the finest subcellular structures.

Head of the research unit: Gerd Leitinger

High-Tech-Methoden

Single Cell Analyses

The analysis of rare cells requires special care because most analysis techniques are not sensitive enough to unambiguously detect rare cells. Rare cells include tumor cells circulating in the blood of cancer patients or microchimeric cells (foreign cells inherited during pregnancy). Their frequency varies between 1:10,000 and 1:1,000,000, which is why the research unit develops and optimizes analysis techniques to identify and verify these cells. Furthermore, spatial analysis is used to link their biology with the surrounding tissue (spatial histology).

Head of the research unit: Thomas Kroneis

High-Tech-Methoden

Computed Tomography

CT Perfusion is a non-invasive imaging technique that allows real-time visualization of blood flow in organs and tissues. CT Perfusion plays a scientific role in the diagnosis and treatment planning and assessment of tumors. Texture analysis of CT scans is an approach that analyzes subtle patterns and structures within CT images that are often not visible to the naked eye. This method can provide early indications of the presence and aggressiveness of tumors.

Head of the research unit: Helmut Schöllnast

High-Tech-Methoden

Digital Information and Image Processing

The research unit for "Digital Information and Image Processing" explores methods to process digital radiological images more precisely and in a quantitative manner. Mathematical modeling of the examinations allows us to minimize the radiation exposure of certain examinations far below the international average. Research in the field of artificial intelligence aims to digitally support the diagnosis of childhood bone conditions.

Head of the research unit: Sebastian Tschauner

High-Tech-Methoden

CAM Labor

Animal models are necessary for understanding the mechanisms of diseases and the development of drugs and new materials in medicine. The chicken egg chorioallantoic membrane (CAM) assay is considered a replacement for conventional animal models as it can provide valuable insights into biological processes without the use of large numbers of mammals. It fulfils the criteria of the 3R principle (Replacement, Reduction and Refinement) as a fundamental concept for the ethical and humane use of animals in scientific experiments. Our motto: The egg before the mouse.

Head of the research unit: Nassim Ghaffari Tabrizi-Wizsy