In response to the COVID-19 pandemic, the University Imaging Centers are continuing to provide status updates, and have implemented mandatory cleaning and safety protocols for all users using UIC resources. Please visit our sunrise safety protocols page to learn more 

NanoString GeoMx Digital Spatial Profling (DSP)

NanoString’s GeoMx® Digital Spatial Profiler (DSP) combines the best of spatial and molecular profiling technologies by generating a whole tissue image at single cell resolution and digital profiling data for 10’s-1,000’s of RNA or Protein analytes for up to 4 tissue slides per day (including FFPE, see below). This unique combination of high-plex, high-throughput spatial profiling enables researchers to rapidly and quantitatively assess the biological implications of the heterogeneity within tissue samples.

DSP GIf

GeoMx DSP Workflow

DSP workflow

Any Target

Explore biology with more targets (>20,000) and more analytes (RNA & Protein) to get to your publishable discovery data faster.

RNA & Protein

Any Region

Experience automated or customized region of interest (ROI) selection based on the true biology of the sample. From tumor and microenvironment down to the single cell resolution, flexible selection allows you to get to answers faster.

modalities

Any Sample

Expand your research scope and/or collaborations to access more sample types. From FFPE and Fresh Frozen to the most challenging sample types, your research is not limited by type of sample leading to broader discovery and faster data.

tissue

Discover & publish the biology faster

Integrated interactive analysis between tissue and expression resulting in truly spatial biological interpretation

Discover

  • Distinguish statistical changes between groups (e.g. t-tests, linear mixed models)  to determine if biologically significant or an outlier.  
  • Visualize large data matrices using clustering analyses to determine significant changes associated with specific tissue morphology or cell type 
  • Understand which genes and pathways are altered in spatially annotated datasets

discover

 Publish

  • Integrated nCounter and NGS data QC provide seamless data quality assessment.  Normalization by cell density (automated cell counting) or area based normalization.
  • Perform pathway analyses to understand disease mechanisms of action and identify novel targets.
  • Integrate custom biostatistics scripts for enhanced analysis
  • Exportable publication quality images and figures

figure