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Our group works on the development of novel magnetic resonance reporters and the related detection techniques for diagnostic imaging and spectroscopy. Xenon biosensors have an outstanding potential to increase the significance of magnetic resonance imaging (MRI) in molecular diagnostics. To explore this potential, our group could repeatedly obtain support through programs focusing on highly innovative approaches, including the Koselleck Program of the DFG and the European Research Council (ERC). 
The research in our lab uses the Hyper-CEST method as an ultra-sensitive technique in xenon MRI to combine the advantages of non-invasive imaging with the high sensitivity of hyperpolarized xenon and the specificity of functionalized reporters.

Advancements focus on high-sensitivity in vitro diagnostics for live cell detection of disease merkers previously inaccessible for MRI and further translation into animal models. By combining methods from physics, biochemistry and cell biology, we pursue projects on early detection of various pathologies, including different types of cancer and Parkinson's disease. This will eventually close the sensitivity gap between modalities of nuclear medicine like PET/SPECT and MRI without using ionizing radiation or making compromises in penetration depth like in optical methods.

Please follow this link for some general information and interviews.
(incl. material from the Long Night of Science)

Our lab is a member of the Graduate School for BIOphysical Quantitative Imaging Towards Clinical Diagnosis
[BIOQIC] and is also participating in the Berlin School of Integrative Oncology [BSIO].
Fellow of the
Young Academy of Europe
Molecular Imaging Group
(Leif Schröder)
cryptophane cage for Xe NMR

Joint publication with the Shapiro Lab on MRI applications of gas vesicles in Nature Protocols

Feature on Latest Thinking about xenon biosensor research

First ever Koselleck Grant awarded to a Leibniz institute for a new aspect of Xe MRI reserach

Very successful publication period finalizing the ERC grant: Nature Index listings