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Overview
Multicolor flow cytometry experiments generate vast amounts of complex data and require sophisticated software for their evalutation. SPICE is a data mining software application that analyzes large FLOWJO data sets from polychromatic flow cytometry and organizes the normalized data graphically. 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 Excel spreadsheets.
- Use a single software specifically designed for flow cytometry data.
- 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.
- Use formatting palettes to customize your graphs for reports or presentations.
- Save your data views for comparison and review.
Switching from SPICE 4 to SPICE 5?
A reference guide is available for previous users of SPICE 4. Download a copy here.
How is this software used at NIAID?
SPICE is currently used in the ImmunoTechnology lab of the NIAID Vaccine Research Center. The application is revealing relationships among numerous T-cell immune responses resulting from vaccine challenges.
Acknowledgements
SPICE was written in collaboration with Dr. Mario Roederer, Senior Investigator of the ImmunoTechnology section of the Vaccine Research Center at the National Institute of Allergy and Infectious Diseases.