Systematic mapping of the tumor microenvironment (TME) is critical for diseases such as breast cancer. Multiplexed imaging techniques allow for a far higher number of protein biomarkers to be visualized per experiment, and thus can capture the complexity of the TME more comprehensively. This spatial context is crucial for understanding immune evasion mechanisms. Integrating AI-powered image analysis can further empower scientists, giving them comprehensive insights into the TME and potential therapeutic targets.
In this application note from Leica, learn more about how to perform multiplexed spatial proteomics analysis on breast cancer tissues to study tumor architecture, metabolism, and immune responses.