Access to molecular oxygen is essential for cell function and behaviour. Tools to measure this central parameter, in particular in vivo, are limited. We generate hypoxia reporter systems, which we use to understand the contribution of immune cells to acute and chronic hypoxia in cells, organs and entire organisms. For the automated analysis of the big data, which we derive with our reporter systems in large tissue volumes, we have developed dedicated deep learning pipelines. We extend and accompany the resulting massive imaging data by complementary annotation and supervision tools, which allows us to analyse hypoxia across scales. Our approach provides unprecedented insights into the dynamics and consequences of hypoxia and its connection to inflammation.
Kiefer, Friedemann | European Institute of Molecular Imaging (EIMI) |
Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
Kiefer, Friedemann | European Institute of Molecular Imaging (EIMI) |
Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
Bauer, Nadine | European Institute of Molecular Imaging (EIMI) |
Beckmann, Daniel | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
Bobe, Stefanie | Gerhard Domagk Institute of Pathology |
Erapaneedi, Raghu | European Institute of Molecular Imaging (EIMI) |