SOURCE-LINKED INTELLIGENCE
Training network for Next generation cellular screening
ell and bioparticles level has the potential to transform clinical diagnostics, but the research and development in this field are scattered in different disciplines: biophotonics, micromanipulation, machine learning, in vitro diagnostics, and clinical regulations are traditionally imparted in separate training programs. NEXTSCREEN aims to train and establish a network of researchers with the expertise required for the development of next-generation screening methods, based on automatic imaging and classification of samples moving along a liquid stream. The researchers have the objectives to reduce the cost and complexity of imaging flow cytometry; empower it with novel contrast mechanisms; build high-resolution automatic microscopes at the diffraction limit and beyond; develop real-time data processing tools able to detect and recognize the samples, circumventing the need for manual annotation. Using these technologies they will characterize blood cells and bioparticles, screening large cellular populations, with the goal to identify and characterize cancer biomarkers, in samples d
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2608819.2
- 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.