SOURCE-LINKED INTELLIGENCE
Physics‑aware generative AI for Double-Blind Spectral Unmixing
Physics‑aware generative AI for Double-Blind Spectral Unmixing "Fluorescence is a powerful technique that uses molecular tags, each emitting a unique spectral fingerprint of light, to highlight specific cells or proteins. This enables researchers to map cellular interactions and mechanisms. However, as our research needs grow and we use more tags to create a complete picture, their fingerprints inevitably overlap, creating a mixed signal that obscures critical biological information. Current state-of-the-art unmixing methods operate with a critical restriction: they require the exact number of fluorescent components present and/or the precise spectral fingerprint of each one. This forces time-consuming pre-calibration and prevents the system from identifying unexpected signals, such as tissue autofluorescence, which are often part of the scientific question itself. The PRISM project will overcome th
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 217965.12
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.