Kaluza Flow Cytometry Analysis Software Features
The Kaluza Difference
Kaluza Analysis Software is stand-alone flow cytometry analysis software, designed to work with *.fcs and *.lmd files derived from flow cytometers. This software includes advanced features including processing multi-color files of up to 20 million events in real-time, while offering analytical speed that is dramatically faster than other commercially-available software.
Researchers in the areas of regulatory T cells, NK cell sub-populations, and mesenchymal stem cells are focused on the analysis of the differentiation stage and on the function of very small sub-populations of cells. Data files of several million events or more are required for statistically significant results. Kaluza Analysis enables researchers in these areas to run their high-content flow cytometry files at very fast speed, while maintaining an intuitive, user-friendly interface.
With the R console Plugin Kaluza can be expanded to run advanced clustering and dimensionality reduction algorithms using user-defined R scripts. These techniques facilitate the display of multi-dimensional data and allow researchers in all fields to compare differences between sample groups.
AnalysisTo customize your Protocol, Kaluza Analysis provides a diverse offering of plot and table types, each of which can be customized for optimal data presentation.
• Dot Plots
• Tree Plots
• Radar Plots
• Density Plots
• Contour Plots
• Overlay Plots
• Comparison Plots
• Cell Cycle Analysis Plots
• Add All Plots
|• Linear and Divider Gates
• Quadrant / Staggered Quadrant Gates
• Hinged Quadrant Gates
• Polygon Gates
• Rectangle Gates
• Ellipse Gates
• Boolean Gates
• Auto Gates
• Showing Gated Populations as Rare Events
• Viewing Gate Logic
• % Total
• % Gated
• % Grandparent
• Arithmetic Mean
• Standard Deviation (SD)
• Coefficient of Variation (CV)
• Half Peak of Coefficient of Variation (HPCV)
|• Adjusting Compensation
• Saving a Compensation File
• Importing a Compensation File
• Resetting Spillover and Autofluorescence Vector Values
• Accounting for Autofluorescence
Watch the video below to see how one user has designed templates with advanced analytical tools to streamline analysis and report generation to address in a GLP (Good Laboratory Practice) fashion.