Spectralligence
Spectral Analysis in life sciences and materials sciences through Artificial Intelligence
Project description
Molecular and Atomic Spectroscopy is a well-established set of technologies that use the electromagnetic spectrum to generate unique fingerprints of molecular structures, with a broad set of applications in chemistry, medicine and environmental and safety services. A significant reduction in dependence on human experts is necessary to bring novel technologies to fruition for ever expanding opportunities. The Spectralligence project aims to demonstrate that cross-domain validated Neural Networks for spectral analysis, leveraging innovations in micro-electronics and component miniaturisation, can significantly accelerate market growth and technology adoption.
Finland
Sensmet Oy
Finland
The Netherlands
Dynaxion
The Netherlands
Eindhoven University of Technology
The Netherlands
Maastricht University Medical Centre
The Netherlands
Philips Medical Systems Nederland BV
The Netherlands
UMC Utrecht
The Netherlands
Project publications
- Spectralligence Project profile leaflet Project Leaflet 16 February 2022 Download
- By and for end-users Magazine article Issue 45 (July 2023) Download
- ITEA PO Days 2024 - Project poster Spectralligence Project poster 11 September 2024
- ITEA PO Days 2023 - Project poster Spectralligence Project poster 14 September 2023
Work package documents
- D1.2_Inventory of deep learning network candidates (public)_v1.0.pdf Work package document 23 February 2024