Kaluza Analysis Software

Kaluza Analysis Software is designed to simply, efficiently, and quickly analyze multi-color data. Four simple control panels provide access to every aspect of your data.

Install the software on as many computers as needed and control access with the license option that fits your needs. A variety of single user and multi-user licenses are available. Learn more about the philosophy behind the Kaluza Analysis Software.

  • Loads any FCS compliant file through standard 3.1
  • Real time processing of multi-color files of up to 20 million events
  • Move compensated, transformed, and anonymized data sets to the Cytobank cloud platform with the Kaluza Cytobank Plugin
  • Innovative interface with workflow and ease of use as top priorities

Features

The Kaluza Philosophy

  • Context specific radial menus put functions at your fingertips
  • Four control panels access all aspects your data
  • Real time adjustments to data display

Upgrade to Version 2.1

The Kaluza Difference

Administrator Tools

  • Install the Network License Control Center on a shared server to manage 10 to over 1000 users
  • Create detailed usage reports and query logs for specific users
  • View current license keys and use to activate new keys

 

 

Explore Kaluza Models

Content and Resources

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Automating Flow Cytometry Brochure Mitigating sources of variability begins during assay design, continues during analytical method development, and through process monitoring
Kaluza Analysis Software Brochure Kaluza Analysis Software allows access to data analysis of large files resulting from complex color analysis.
Offline Flow Cytometry Analysis Software: Importance of Scaling and Data Visualization Learn about the flow cytometry open platform data structure and how it facilitates for robust offline analysis
Whitepaper: Kaluza Analysis Tree Plots offer a fast and comprehensive overview of multi-color flow cytometry data Introduces the Tree Plot as a supervised approach for comprehensive deconvolution of flow cytometry data, bridging the gap between manual gating and unsupervised computational analysis
Using Standardized Dry Antibody Panels for Flow Cytometry in the Assessment of Altered Immune Profiles in Response to SARS-CoV2 Infection In order to identify early indicators of disease severity in SARS-CoV2-infection, the proportions of well-established immune cell phenotypes have been subject to extensive research, utilizing flow cytometry as a core technology1-3. In order to ensure comparable and consistent results in the massively multi-institutional research setting of a global pandemic, the use of standardized antibody panels and procedures, as demonstrated by The ONE Study4-6, is a promising approach that also can lower technical barriers

Documentos técnicos