REVEAL
REVEAL aims to accelerate liver cancer research by identifying pre-tumor cellular changes in living tissue. It develops a neuronal microscopy platform that blends instrumentation, machine learning, and biology to detect, collect, and analyze specific liver cell subtypes. The project relies on neural networks, CNNs, quantitative phase imaging, holographic tomography, and deep learning to interpret phenotypes and link them to gene expression. It is a multidisciplinary EU project involving multiple partners and targets research institutions and laboratories as the primary users. By mapping cellular phenotypes to gene expression, it seeks to uncover cancer origins and enable new photonic tools for early diagnosis and research.
REVEAL
REVEAL aims to accelerate liver cancer research by identifying pre-tumor cellular changes in living tissue. It develops a neuronal microscopy platform that blends instrumentation, machine learning, and biology to detect, collect, and analyze specific liver cell subtypes. The project relies on neural networks, CNNs, quantitative phase imaging, holographic tomography, and deep learning to interpret phenotypes and link them to gene expression. It is a multidisciplinary EU project involving multiple partners and targets research institutions and laboratories as the primary users. By mapping cellular phenotypes to gene expression, it seeks to uncover cancer origins and enable new photonic tools for early diagnosis and research.