From Tissue to Quantitative Insight
TETRA connects metamaterial physics, biophotonics, biological tissue characterization and physics-informed AI to explore new quantitative routes toward cancer recognition.
D1.2 tissue samples
The indexed D1.2 material identifies breast cancer, normal breast, skin tissue and biopsy sections among the project sample types, with modalities including phase-contrast, fluorescence/confocal and Raman imaging. The source site currently blocks automated extraction, so no image has been copied or relabelled without provenance.
Publications
Success Stories
Media
COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
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Working Groups, Task and Activities
TETRA Network
Interactive geographic overview of COST Action CA23125 — The mETamaterial foRmalism approach to recognize cAncer.
WG1
Optimising methodologies for experimental visualisation of biomedical tissues. Details…
WG2
Mathematical modelling of highly disordered anisotropic structures. Details…
WG3
Determining the biological properties of highly disordered materials. Details…
WG4
Translation of the TETRA models towards use of models for the detection of cancers. Details…
WG5
Communications, outreach and exploitation. Details…
