Forschungsgruppe PD Dr. med. Matthias Hilty
Aims
- Real-time, in vivo quantification of the determinants of oxygen delivery and extraction in the tissue
- Identification and targeting of microcirculatory dysfunction in critically ill patients
- Development of algorithms and machine learning tools for in vivo red blood cell tracking
- Linking the understanding of physiological processes with the advantages of big data analysis in large databases
- Elucidate the effect of extracorporeal life support (ECCO2R, ECMO) on gas exchange and tissue perfusion
- Understand the adaptation processes of the microcirculation to hypoxia
Methodology
- In-vivo dark field microscopy of the sublingual, skeletal muscle and intestinal microcirculation
- Development and application of advanced computer vision and machine learning techniques for red blood cell tracking through dark field microscopy
- Modern statistical and computational methodologies are applied to clinical studies, database applications and image sequences
