Celia’s lab pursues advanced single cell multiomics technologies (in particular transcriptomics, epigenomics and metabolomics) to differentiate the ‘’molecular’ from the ‘chronological’ age in tissues and organs. Combined with newly developed computational tools, the team resolves - spatially and temporally -the cellular heterogeneity of metabolic organs to arrive at new diagnostic and therapeutic paradigms for age-related and chronic diseases.

Advanced biomedical imaging capabilities in the short-wave infrared spectrum render tissue translucent and carry the potential to revolutionize non-invasive imaging in vivo. With innovations at all steps - synthesis of new dyes, novel imaging setups, AI-based enhancement of image-processing capabilities – Oliver’s team develops a diverse set of multi-colour, non-invasive imaging modalities both for preclinical use and clinical applications.

Matthias’ microfluidic solutions platform offers a vast array of robust and customizable technologies for human tissue modelling with dynamically controlled microenvironments and quantitative bio-analytics. 
Research in the lab is focused on (i) chemical programming of human induced pluripotent cells, (ii) profiling of single- and spatial- cell protein interactions in human organoids, (iii) the functional assembly of adipocyte- and pancreas- organoids on chip.

Ben's lab applies an advanced workflow of ultra-fast cell freezing, nano-scale sample thinning, 3D electron microscopy (called cryo-electron tomography), and AI-guided image processing to reveal 3D views of the native cellular environment at molecular resolution. This technique reveals the native structures of protein complexes and organelles within their cellular context, allowing the discovery of fundamental biological processes and providing a new molecular view into human disease.