CODEX® Support
  • Welcome
  • CODEX® Instrument Manager (CIM)
    • Overview
    • User Instructions
      • Experiment
      • Maintenance
      • Transfer Data
      • Settings
    • Microscope Specific Settings
      • Microscope Requirements - Overview
      • Keyence BZ-X800 and BZ-X700
        • Requirements
        • BZ-X800 Image Acquisition Settings
          • Multi-Point (BZ-X800)
        • BZ-X700 Image Acquisition Settings
          • Multi-Point (BZ-X700)
        • Exposure steps
      • Leica DMi8
        • Image Acquisition Settings
      • Zeiss Axio Observer
        • Requirements
        • Image Acquisition Settings
      • Exposure Time Settings Considerations
      • Determination of Signal to Noise Ratio
    • Technical Notes
    • Installation
      • CIM Upgrades
  • CODEX® Processor
    • Overview
    • Installation
      • Install
      • Update
      • Version History
    • User Instructions
      • Quick Start
      • Processing Options
      • Segmentation Options
      • Image Analysis Report
    • Technical Notes
      • Expected Input
      • Expected Output
      • Cycle Alignment
      • Background Subtraction
      • Deconvolution
      • Extended Depth of Field
      • Shading Correction
      • Tile Registration
      • Segmentation & Spillover
      • t-SNE
      • FCS Format
    • Troubleshooting
  • CODEX® Multiplex Analysis Viewer (MAV)
    • Overview
    • Installation
      • System Requirements
      • CODEX® MAV - Download & Install
      • Release Notes
    • User Instructions
      • Quick Start
      • Open Experiment
      • Main Menu
      • Overlay Manager
      • Marker Picker
      • Region Image
      • History Panel
      • Save / Open Analysis
      • Clustering
      • Population Table
      • Cells
      • Marker Manager
      • Gating
      • Voronoi Diagram
      • Other Analysis Operations
    • Technical Notes
      • Algorithm Details
      • FCS Format
    • Public Datasets
    • Troubleshooting
  • Workflow Documents
    • CODEX and microscope setup
    • Reagents and staining
  • Appendix
    • End User License Agreement
    • Third-party Licenses
      • CIM
      • Processor
      • MAV
  • PhenoCycler Analysis
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  1. CODEX® Processor
  2. Technical Notes

t-SNE

PreviousSegmentation & SpilloverNextFCS Format

Last updated 5 years ago

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When enabled, t-Distributed Stochastic Neighbor Embedding (t-SNE) is used to visualize groupings resulting from dimensionality reduction. Java implementation by Dr. Leif Jonsson, Ph.D. at Ericsson Machine Learning and Analytics Platforms uses parallelized Barnes Hut approximation to vastly improve computational performance. The resulting x-y coordinates are embedded in the FCS file for every cell within a region.

Van Der Maaten, L. (2014). Accelerating t-SNE using tree-based algorithms. The Journal of Machine Learning Research, 15(1), 3221-3245.
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