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How does flow cytometry express Gaussian distributed biological information?

Abstract

The analogue-to-digital conversion step in flow cytometric analysis introduces a positive skew into the distribution of any measured parameter. In this communication we describe a semi-analytical method to determine if a distribution skewed by the analogue-to-digital conversion step is compatible with a Gaussian origin. The procedure involves determining the errors associated with calculating the coefficient of variation from the skewed distribution and applying systematic corrections. The method was tested with a number of experimental data sets and is illustrated with 3 distributions. One of these was not compatible with a Gaussian origin, but the other 2 were, in spite of considerable positive skewness in the data.

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BibTeXRIS

J V Watson, M J Walport. 1985-03-18. How does flow cytometry express Gaussian distributed biological information?. https://doi.org/10.1016/0022-1759(85)90045-6

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