Flow Cytometry Quality Assessment  Print-icon


Quality assessment represents an important part of any data analysis.  Quality control tests should be included at the beginning of data analysis and often at other steps of an analytical pipeline to identify differences in samples originating from changes in conditions that are probably not biologically motivated. Generally, these methods establish a quality control criterion to give special consideration to abnormal samples or even exclude these from further analysis. Quality control tests in this suite are largely based on functionality implemented in the flowQ and flowFP R/BioConductor packages. They include tests applicable to both plate-based and single panel flow cytometry data (e.g., fingerprinting, cell number test, time flow test, Probability Density Function (PDF), and medians test of forward and side scatter for cell debris).
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Updated on March 05, 2013 14:31