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Large‐scale image‐based screening and profiling of cellular phenotypes
Author(s) -
BougenZhukov Nicola,
Loh Sheng Yang,
Lee Hwee Kuan,
Loo LitHsin
Publication year - 2017
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.22909
Subject(s) - phenotype , bottleneck , computational biology , profiling (computer programming) , phenotypic screening , biology , computer science , genetics , gene , embedded system , operating system
Cellular phenotypes are observable characteristics of cells resulting from the interactions of intrinsic and extrinsic chemical or biochemical factors. Image‐based phenotypic screens under large numbers of basal or perturbed conditions can be used to study the influences of these factors on cellular phenotypes. Hundreds to thousands of phenotypic descriptors can also be quantified from the images of cells under each of these experimental conditions. Therefore, huge amounts of data can be generated, and the analysis of these data has become a major bottleneck in large‐scale phenotypic screens. Here, we review current experimental and computational methods for large‐scale image‐based phenotypic screens. Our focus is on phenotypic profiling, a computational procedure for constructing quantitative and compact representations of cellular phenotypes based on the images collected in these screens. © 2016 International Society for Advancement of Cytometry