SOURCE-LINKED INTELLIGENCE
Vibrations of viral particles scatter light
ese objectives, the project will analyze each selected familly of viruses to determine their composition, size, shape and mechanical properties. Finally, all this information will be correlated using artificial intelligence to identify a given virus based on its vibrational spectra. By pushing the current limits of stimulated inelastic light scattering spectroscopy, designing nanoparticle resonators (NPRs) and implementing efficient artificial intelligence models, this project aims to develop the proof of concept of a new technology capable of identifying viral particles by light in a few minutes, while achieving high selectivity (specific vibrational signature) and high sensitivity (down to the single viral particle). nanoparticle vibration; inelastic light scatterings spectroscopy;virus mechanical properties;artificial intelligence
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 6069304
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.