Data-Driven Compensation for Flow Cytometry of Solid Tissues
Author(s) -
Nickolaas Maria van Rodijnen,
Math Pieters,
Sjack Hoop,
Marius Nap
Publication year - 2011
Publication title -
advances in bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.33
H-Index - 20
eISSN - 1687-8035
pISSN - 1687-8027
DOI - 10.1155/2011/184731
Subject(s) - compensation (psychology) , propidium iodide , flow cytometry , computer science , sample (material) , chemistry , biology , chromatography , microbiology and biotechnology , psychology , apoptosis , biochemistry , programmed cell death , psychoanalysis
Propidium Iodide is a fluorochrome that is used to measure the DNA content of individual cells, taken from solid tissues, with a flow cytometer. Compensation for spectral cross-over of this fluorochrome still leads to compensation results that are depending on operator experience. We present a data-driven compensation (DDC) algorithm that is designed to automatically compensate combined DNA phenotype flow cytometry acquisitions. The generated compensation values of the DDC algorithm are validated by comparison with manually determined compensation values. The results show that (1) compensation of two-color flow cytometry leads to comparable results using either manual compensation or the DDC method; (2) DDC can calculate sample-specific compensation trace lines; (3) the effects of two different approaches to calculate compensation values can be visualized within one sample. We conclude that the DDC algorithm contributes to the standardization of compensation for spectral cross-over in flow cytometry of solid tissues.
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