The interplay between tumor and host tissues within the tumor microenvironment (TME) is critical for guiding drug development. However, because the TME contains a large number of cell types and biomarkers, multiplexed imaging approaches are best suited to fully capture this complexity while retaining key spatial information. Furthermore, today, AI-guided analysis platforms can extract meaningful insights from these data-rich experiments by looking at differential biomarker profiling, co-expression analysis, and cancer signature discovery.
In this poster from Leica, discover how scientists used a multiplexed imaging platform to perform multiplex imaging across several cancer types and find deeper insights into tumor–immune dynamics.