Label-free multimodal real-time imaging of phage-induced bacterial lysis
The fast-growing number of multidrug-resistant bacterial strains is one of the biggest threats to public health. 5 million deaths and billions of euros are associated with drug-resistant bacterial infections per year. Lately, bact...
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Información proyecto COBLIM
Duración del proyecto: 23 meses
Fecha Inicio: 2023-10-01
Fecha Fin: 2025-09-30
Líder del proyecto
UNIVERSITAT WIEN
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The fast-growing number of multidrug-resistant bacterial strains is one of the biggest threats to public health. 5 million deaths and billions of euros are associated with drug-resistant bacterial infections per year. Lately, bacteriophages have become an alternative way to increasingly failing traditional direct-acting small antibiotic molecules. However, a deep and detailed understanding of the processes connected to bacteriophage-induced bacterial lysis is still missing. This project aims to develop a unique optical-based multimodal imaging technique for high-speed real-time imaging of phage-induced lysis of bacteria. The suggested tailored combination of coherent brightfield microscopy allowing for fast, label-free, and long-term single bioparticle imaging with advanced electro-optic fluorescence lifetime imaging allowing for dynamic molecular proximity sensing will be a worldwide unique prototype. For the first time, the technique will allow for direct label-free tracking of bacteriophages and simultaneous detection of changes in the inner bacterial environment (e.g., change in pH) and bacterial metabolism during all stages of infection. This will provide a great pool of information currently lacking, that will facilitate and accelerate phage and antimicrobial research. The method can be easily adapted for other bacterial or mammalian cells and single-bioparticle and particle studies, finding its place in drug delivery, cell interaction studies, or tracking particles in cells. Due to the uniqueness of the set of information that currently cannot be gained (under the same conditions) with any other technique, we expect the technology to become standard in future life science imaging.