CORDIS Project
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This project develops a super-resolution microscopy platform called InfPathMapper to study the infection pathways of Yersinia pseudotuberculosis in living cells. By integrating advanced imaging techniques and machine learning, it aims to reveal how pathogens adapt to host environments during infection.
Pathogens like Yersinia pseudotuberculosis must rapidly adapt to environmental cues to progress through infection, manipulating host responses to survive and replicate.
Understanding these adaptive host-pathogen interactions is key to developing targeted therapies, combating antibiotic resistance, and preventing chronic infections.
However, current methods miss rare, transient infection stages, limiting our understanding of infection pathways.
My project aims to address this by developing InfPat…
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