Improved Analysis of Flow Cytometry

  • Author: ChemistryViews
  • Published Date: 15 February 2013
  • Source / Publisher: SIB Swiss Institute of Bioinformatics
  • Copyright: Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim
thumbnail image: Improved Analysis of Flow Cytometry

The SIB Swiss Institute of Bioinformatics, GeneBio, and Quartz Bio announced the establishment of a long-term collaboration to develop, use, and jointly promote the MegaClust platform for the analysis of flow cytometry data.

Flow cytometry is routinely used in the diagnosis of health disorders and has applications in basic research, clinical practice, and clinical trials. Cells are suspended in a fluid and pass an electronic detection apparatus to allow simultaneous multiparametric analysis of their physical and/or chemical characteristics. Thousands of particles can be analyzed per second. As the experiments generally contain a large number of samples collected from multiple sources, the curation and manual analysis is time consuming, not systematic, and, therefore, error-prone.

The MegaClust analysis platform will perform an automated, unbiased and thorough identification of phenotypically similar cell populations in large datasets consisting of many samples. Its technology allows reliable quantitative cross sample analyses and, therefore, provides a powerful tool to stratify individuals and/or to analyze variations in cell subpopulations upon stimulations and candidate treatments



- MegaClust website with additional information and contace e-mail address


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