| Literature DB >> 27434125 |
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.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