Biodiversity is one of the most important components for the functioning of global ecosystems and represents the basis for the existence and future of mankind. Nevertheless, so far only about 10-20% of all species are known and their function in the ecosystem described. In close cooperation with the Center for Integrative Biodiversity Discovery at the Museum of Natural History Berlin, new methods are being developed to digitize large insect collections and automatically determine their species. In this way, changes in the ecosystem can be detected.

For many experiments in medicine, it is necessary to microscope thousands of model organisms, such as zebrafish eggs, over and over again and search for specific characteristics or deviations. Other applications for automated microscopy include biodiversity research, for example to automatically determine the abundance of zoo plankton in seawater. For this purpose, we have developed different (fluorescence) microscope systems that microscope organisms in-vivo in a high-throughput screening and automatically recognize morphological features. With the help of AI algorithms, features can then be classified, or species can be recognized.

Printed, flexible sensors for measuring in-vivo ozone concentrations in tissue are designed. Additionally reference systems for calibrating new gas sensors are developed.