Spatial proteomics
Our pipeline efficiently manages spatial transcriptomics data from advanced platforms, including CosMx SMI, Xenium, StereoSeq, Visium, BMK S1000, DBiT-seq, and GeoMx for precise tissue analysis and characterization.
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Our automated, machine learning-based MxIF bioinformatics pipeline identifies and quantifies cell populations within the tumor microenvironment.
Gain insights into the spatial distribution of immune cells, tumor, stroma and vasculature, uncovering key findings related to tumor porosity, infiltration and distances between cells and tissue compartments. Collectively, these insights contribute to a comprehensive understanding of the cellular landscape.
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Understanding the spatial distribution of inflammatory cells within the tumor microenvironment provides valuable insights into tumor biology and the immune response.
Examine the intricacies of cell-cell interactions within the complex tumor ecosystem. Gain a detailed understanding of how cells communicate and uncover distinct communities characterized by similarities in cell types, proportions, densities and spatial distributions.
the clinical utility of spatial proteomics
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Custom panel tailored to research needs
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Tyramide signal amplification (TSA)
Low plex (typically 6 marker panels)
High throughput staining on Bond Rx autostainer
Slide scanner used to acquire images
Biomarker validation, translation to clinical practice
DNA barcode-conjugated primary antibodies
High plex (up to 60 markers at average)
Low throughput manual staining
Automated fluid control for cyclic imaging
Deep tissue characterization
Sample requirements
