Multidimensional Multiplexing for Spatially Resolved Immune Tumor Heterogeneity

The relevance to understand the entire tumor heterogeneity, its immune environment and contextual relationship requires the spatial quantification of different immune and tumor cells along with the genetic background of the individual cancer

We apply multiplexing technologies to visualize biomarker candidates on a single slide with the assistance of machine intelligence including images digitization, computer-based image analysis, and further (molecular) data breakdown through machine learning tools

The availability of digital tools in histopathology allows interpreting the high-dimensional complexity of the spatial and immunological heterogeneity in tissue and integrating big (molecular) data to select the best and most effective treatment including combination and advanced therapies.