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Kaluza C Flow Cytometry Analysis Software

Purpose-built for clinical laboratories, Kaluza C Flow Cytometry Analysis Software helps you turn critical data into meaningful patient reports.

With the power to process multicolor files of up to 20 million events in real time, Kaluza C software streamlines quality control (QC) reporting requirements and enables you to analyze any flow cytometry standard (FCS) compliant file.

Kaluza C Analysis Software Features

  • Listed with the FDA as a medical device
  • Seamless integration with laboratory information systems (LIS)
  • Powerful, real-time processing
  • Compliant with FCS standard 3.1 or earlier

 

Medical Device

Kaluza C software is listed with the FDA as a medical device and is also a CE-marked IVD product, ultimately helping to reduce your tool validation work.

Comprehensive Compatibility

Compatible with listmode data files that are compliant with FCS standard 3.1 or earlier from all acquisition software packages and cytometers.

Enhanced LIS Integration

Kaluza C software provides integration with the LIS, which reduces the need for manual data entry and manual transcription.

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Kaluza C Analysis Software Brochure
This brochure details Kaluza C Analysis Software, aimed at clinical flow cytometry labs. It emphasizes compliance with regulatory standards, efficiency in processing large data sets, and integration with laboratory systems. Key features include FDA listing, LIS connectivity, user management, and specialized QC reporting. The software supports various licensing options and requires specific minimum computer specifications. It showcases an efficient user interface and advanced analysis tools to streamline clinical cytometry workflows
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Assessment of Immune Profiles in SARS-CoV2 Infection Using Flow Cytometry
This document presents a study on using standardized dry antibody panels for flow cytometry to assess altered immune profiles in response to SARS-CoV2 infection. It details the use of DURAClone antibody panels for comprehensive immune profiling in COVID-19 positive and negative individuals, highlighting differences in immune cell phenotypes and the utility of these panels in research settings.
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Offline Flow Cytometry Analysis Software: Importance of Scaling and Data Visualization
This whitepaper discusses the significance of offline analysis in flow cytometry, emphasizing the need for consistent data scaling and visualization across different platforms and manufacturers. It explains the standardized FCS file format and illustrates how the Kaluza C Analysis Software adeptly handles data from various cytometers, ensuring reliable and standardized data interpretation in flow cytometry research.