The research group Applied Systems Biology is concerned with the mathematical modeling and computer simulation of infection processes caused by human-pathogenic fungi.

The spatio-temporal data basis for these models is acquired by automatizing the data analysis of microscopy images on infection processes for high-throughput scanning. Our aim is to unravel secrets of the dynamical, functional and morphological aspects of the host-pathogen interaction using approaches of image-based systems biology.

Image-based Systems Biology seeks to take full advantage of the information contained in images and includes the following three steps:

Automated analysis of image data for high-content and high-throughput screening,
Quantitative description of biological processes by appropriate characteristic measures,
Construction of image-derived spatio-temporal models and predictive computer simulations.

During recent years, we have implemented a variety of software tools supporting the various steps. A selection of these tools is presented on the right-hand side.

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