Image‐based cell‐resolved screening assays in flow. (16th December 2014)

• Record Type: Journal Article
• Authors: Cheung, Man Ching; McKenna, Brian; Wang, Steve S.; Wolf, Dane; Ehrlich, Daniel J.; Figge, Marc Thilo; Murphy, Robert F.
• Is Part Of: Cytometry. Volume 87:Number 6(2015)
• Page Start: 541
• Page End: 548
• Publication Date: 2014-12-16
• Subjects: Flow cytometry -- Periodicals; Imaging systems in biology -- Periodicals; Imaging systems in medicine -- Periodicals; Diagnostic imaging -- Periodicals; 571.605
• DOI: 10.1002/cyto.a.22609
• Languages: English
• ISSNs: 1552-4922

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>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 a <italic>Z</italic>′ 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</p> </abstract>