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SPICE Data Mining & Visualization Software

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Multicolor flow cytometry experiments generate vast amounts of complex data and require sophisticated software for their evaluation. SPICE is a data mining software application that analyzes large FLOWJO data sets from polychromatic flow cytometry and organizes the normalized data graphically.

SPICE was written in collaboration with Dr. Mario Roederer in the ImmunoTechnology section of the Vaccine Research Center at the National Institute of Allergy and Infectious Diseases.


SPICE enables users to discover potential correlations in their experimental data within complex data sets. Many potential applications for SPICE exist: the software can be used to analyze any multivariate data set for which a series of nominal measurements and a single continuous measurement is available.

Benefits & Features

No more wading through spreadsheets.

  • Use a single application specifically designed for flow cytometry data.
  • Create and adjust "views" of your source data in seconds.
  • Simplify analysis for large and complex data sets.
  • Discover qualitative patterns within your data sets.
  • Sort your data by any variable or parameter by a simple drag-and-drop interface.
  • Select analytical roles for each of your experimental variables using drop-down menus.
Create simple views of complex data sets for publication.
  • Define data views with a few mouse clicks.
  • Use formatting palettes to customize your graphs for reports or presentations.
  • Save your data views for comparison and review.

This software is provided free of charge by the National Institute of Allergy and Infectious Disease. The software can be downloaded by clicking HERE.