The interplay between tumor and host tissues within the tumor microenvironment (TME) is critical for guiding drug development. However, because the TME contains many different cell types and biomarkers, multiplexed imaging approaches are best suited to fully capture this complexity while retaining key spatial information. Furthermore, 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.