Department of Neurology and Center for Translational Systems Biology, Mount Sinai School of Medicine, New York, New York 10029, USA.
Cytometry A. 2011 May;79(5):356-60. doi: 10.1002/cyto.a.21062. Epub 2011 Apr 11.
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.
传统的流式细胞术（FMC）数据补偿需要额外的数据集，即 N 个单染对照样本的数据，以估计串扰系数。然而，单染对照是最不严格的对照，因为任何多染对照都比 N 染样本更接近。在本文中，开发了一种新的基于优化的补偿方法，该方法不仅可以使用单染对照，还可以使用多染对照来改进串扰系数的估计。该方法在五个染色树突状细胞（DC）的数据集上进行了验证，该数据集有五个单染对照和八个多染对照。该方法实用，可显著提高 FCM 补偿效果。
