The aim of our research is to enhance our understanding of complex biological processes through the analysis of image data that has been acquired at the microscopic scale. We have developed algorithms and methods that enable the quantification of a broad range of phenotypical alterations, the precise localization of signalling events, and the ability to correlate such events in the context of the biological specimen. This work can be structured into the following three major areas:
- Analysis of shape, structure, and spatial context,
- Function and dynamic biological processes,
- Enablement of new imaging methods.
This algorithm development needs to be guided by a firm understanding of the broader application context which is indicated in the figure below. Sophisticated algorithms are now necessary to image increasingly complex model systems over an extended period of time. In order to understand the role of certain genetic modifiers we need to relate these to the image derived measurements and features.