Improved compensation in flow cytometry by multivariable optimization

István P. Sugár, Joanna González-Lergier, Stuart C. Sealfon

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Conventional compensation of flow cytometry (FMC) data of an N-stained sample requires additional data sets, of N single-stained control samples, to estimate the spillover coefficients. Single-stained controls however are the least rigorous controls because any of the multi-stained controls are closer to the N-stained sample. In this article, a new, optimization based, compensation method has been developed that is able to use not only single- but also multi-stained controls to improve estimates of the spillover coefficients. The method is demonstrated on a data set from five-stained dentritic cells (DCs) with five single-stained and eight multi-stained controls. This approach is practical and leads to significant improvements in FCM compensation.

Original languageEnglish
Pages (from-to)356-360
Number of pages5
JournalCytometry. Part A : the journal of the International Society for Analytical Cytology
Volume79 A
Issue number5
DOIs
StatePublished - May 2011

Keywords

  • Compensation in flow cytometry
  • Dendritic cells
  • Optimization
  • Spillover coefficients

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