New method revolutionizes cancer diagnosis

"Deep Visual Proteomics" technology provides cell-specific, protein-based information and helps to analyze cancer diseases. How does cancer arise? How does cellular composition influence tumor malignancy? These questions are profound and challenging to answer, but are crucial to understand the disease and find the right cure. Now, a German-Danish team led by Matthias Mann has developed a ground-breaking technology called -Deep Visual Proteomics-. This method provides researchers and clinicians with a protein read-out to understand cancer at single cell-type resolution. The technology demonstrates its potential in a first application to cancer cells. Deep Visual Proteomics concept and workflow Clockwise: Deep Visual Proteomics (DVP) combines high-resolution imaging, artificial intelligence (AI)-guided image analysis for single-cell classification and isolation with a novel ultra-sensitive proteomics workflow. DVP links data-rich imaging of cell culture or archived patient biobank tissues with deep learning-based cell segmentation and machine learning-based identification of cell types and states.