Image-based cell-resolved screening assays in flow.
Image-based cell-resolved screening assays in flow.
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基于图像的细胞分辨流式筛选分析。
DOI：
10.1002/cyto.a.22609
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Ehrlich,DanielJ
中科院分区：
文献类型：
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作者：
Cheung,ManChing;McKenna,Brian;Wang,SteveS;Wolf,Dane;Ehrlich,DanielJ
并行微流控流式细胞仪（PMC）基于一维（1D）扫描检测器、并行流动通道阵列以及在低像素计数1D图像上操作的新的多参数分析算法。在这篇文章中，我们探索了一系列基于图像的活细胞和固定细胞筛选试验，包括两个NF-kB核转位和T细胞帽。然后，我们开发了一种新的多参数线性加权分类器，该分类器实现了足以用于悬浮Jurkat细胞的规模化药物发现的aZ′因子。我们得出结论，PMC应具有吞吐量和统计能力，以允许使用悬浮液样品进行基于图像的高样本量药物筛选的新功能。© 2014国际细胞计数促进学会
A parallel microfluidic cytometer (PMC) is based on a one‐dimensional (1D) scanning detector, a parallel array of flow channels, and new multiparameter analysis algorithms that operate on low‐pixel‐count 1D images. In this article, we explore a series of image‐based live‐ and fixed‐cell screening assays, including two NF‐kB nuclear translocations and T‐cell capping. We then develop a new multiparametric linear weighted classifier that achieves aZ′ factor sufficient for scaled pharmaceutical discovery with Jurkat cells in suspension. We conclude that the PMC should have the throughput and statistical power to permit a new capability for image‐based high‐sample‐number pharmaceutical screening with suspension samples. © 2014 International Society for Advancement of Cytometry