Increase the depth of tumor spatial phenotyping with virtual multiplexing
Single-cell resolution volumetric imaging is an uprising technique in the biomedical research as it permits to generate cellular maps of human healthy and tumoral tissues that can widen our knowledge of a disease. In this research line we make use of the most recent advances in deep learning computer vision methods to perform virtual multiplexing, even with most simple microscope systems that are usually limited to 3-4 markers.
Members (researchers): Maria Alieva
Research Groups: imAIgene-lab (Machine learning for Biomedical Imaging analysis and multi-omics integration)

