SOURCE-LINKED INTELLIGENCE
Mapping path and fate diversity of molecular mechanisms of infection with smart microscopy
anisms conserved across many bacteria. This system will be able to map pathways of individual infection events at super-resolution level in a live-cell fluorescence-based infection assay supported by machine learning to classify pathogen invasion stages and host cell response patterns. Live-to-fix super-resolution mapping of the molecular architecture of critical infection stages will provide new insights into how Yersinia adapts to niche-specific environments and host-induced stress. By combining cutting-edge microscopy with infection biology, the project will not only set me on an excellent pathway toward achieving research independence, it is also expected to contribute valuable knowledge and tools for the broader research community, fostering innovation in the study of other pathogens and dynamic intracellular processes and the fight against infectious diseases. Super-Resolution Microscopy, Single-Molecule localization, Radial Fluctuations, Yersinia, Infection Cycle, Live-Cell, Smart microscopy, Adaptive imaging
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 236340
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.