CellScape™ XR Platform
High fidelity, flexible subcellular proteomics for rapid and quantitative spatial phenotyping
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The CellScape XR platform delivers quantitative subcellular spatial proteomics for rigorous, reproducible spatial phenotyping across the full research-to-translation continuum. Best-in-class resolution, high dynamic range, and whole-slide imaging enable confident single-cell phenotype discovery, validation, and clinical-grade characterization within intact tissue. An open, flexible assay ecosystem, built on gentle EpicIF signal removal and 6,000+ off-the-shelf, directly conjugated antibodies, lets researchers design panels around their biology rather than platform constraints, while automated cyclic workflows scale that quantitative performance across large cohorts and multiple tissue types without compromising data quality.
Key Benefits:
- Differentially Quantitative Phenotyping: Best-in-class resolution and high dynamic range for differentially quantitative spatial phenotyping
- Robustness and Flexibility: Gentle signal removal compatible with virtually any antibody for rapid panel development
- High Throughput: Scalable whole-slide imaging
Key Applications:
- Tumor Microenvironment Characterization
- Immune Profiling and Immuno-oncology
- Neuroscience and Neurodegenerative Disease Research
- Infectious Disease Studies
- Translational Biomarker Research
Learn More
Contact a Bruker Spatial Biology specialist to explore how the CellScape Precise Spatial Proteomics platform can support your spatial biology workflows.
Ultra-high-plex immunofluorescence analysis of the tumor-immune microenvironment with EpicIF on the CellScape platform
Bruker presents research demonstrating ultra-high-plex immunofluorescence analysis of the tumor–immune microenvironment using the EPICIF™ and CellScape™ platforms. The workflow combines iterative staining and imaging to generate highly multiplexed spatial biology data, enabling profiling of up to 208 antibodies on a single tissue section.
The poster highlights applications in tumor microenvironment characterization, immune cell phenotyping, spatial proteomics, tissue segmentation, and large-scale cohort analysis. Results suggest the platform can support high-resolution spatial mapping of cellular populations and biomarker expression while enabling efficient screening of complex tissue samples.
Resource details:
Resource type: Scientific poster
Page count: 1
Read time: 2 mins
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