Understand how diseases develop and treatments work and improve personalized medicine and transformative healthcare solutions
Spatial proteomics, named Nature Methods’ 2024 Method of the Year, is changing the way we study cancer, immunology, and biology. This method uses location-based data from tissue samples to study proteins and their role in disease. It helps researchers understand how diseases develop and how treatments work. Since proteins are key to how cells function, spatial proteomics is a powerful tool for learning more about the human body and creating more targeted therapies.
Leica Microsystems offers a range of instruments to support spatial proteomics workflows. The Cell DIVE system provides mid-to-highplex imaging of tissue samples using an iterative multiplexing approach. It allows for the automated imaging of 60+ biomarkers. SpectraPlex combines hardware and software innovations to simplify confocal multiplexed imaging on the STELLARIS platform. It enables 3D high-multiplex imaging for 15+ biomarkers. The LMD6 and 7 systems facilitate laser microdissection, allowing for the collection of high-throughput omics data while preserving spatial information. Aivia is an AI-powered analysis software that simplifies the complex task of analyzing spatial proteomics data. It features tools for 2D and 3D image handling, cell segmentation, phenotype identification, and spatial-relational analysis. Aivia minimizes the time spent developing novel tools or moving between multiple analysis software packages, making it a comprehensive solution for spatial proteomics research. Spatial proteomics offers unprecedented insights into the deep biology of tissue samples. It enables researchers to study disease, genetic changes, and how the body works in greater detail.
Using multiomic methods and high-resolution imaging will greatly improve personalized medicine and transformative healthcare solutions. Leica Microsystems supports this important work by offering advanced tools for research and analysis. Together, these efforts can help improve how we treat disease and understand human biology.
