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Image‐based cell‐resolved screening assays in flow
Author(s) -
Cheung Man Ching,
McKenna Brian,
Wang Steve S.,
Wolf Dane,
Ehrlich Daniel J.
Publication year - 2015
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.22609
Subject(s) - flow cytometry , computational biology , computer science , artificial intelligence , biology , microbiology and biotechnology
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 Z ′ 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