Data-Driven Compensation for Flow Cytometry of Solid Tissues

<table>Results of a regression analysis of the manually determined compensation values using Summit V4.0 (<i>S</i>-SUMMIT, ordinate) and the automatic compensation values calculated using the DDC algorithm (<i>S</i>-DDC, abscissa), for the negative control samples. All compensation values are calculated on 100.000 cellular events. A regression line (black solid line) is fitted through all the admissible data points. The dashed lines represent the 95% prediction bounds of the fit.</table>

Advances in Bioinformatics

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Figure 2

Figure 2: Data-Driven Compensation for Flow Cytometry of Solid Tissues 