Literature DB >> 27434125

Large-scale image-based screening and profiling of cellular phenotypes.

Nicola Bougen-Zhukov1, Sheng Yang Loh1, Hwee Kuan Lee1, Lit-Hsin Loo1,2.   

Abstract

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. © 2016 International Society for Advancement of Cytometry.

Keywords:  automated image analysis; cellular phenotypes; high-content screening; high-throughput microscopy; imaging-based phenotypic screens; phenotypic profiling

Mesh:

Year:  2016        PMID: 27434125     DOI: 10.1002/cyto.a.22909

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


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