Literature DB >> 16988394

Requirements, features, and performance of high content screening platforms.

Albert H Gough1, Paul A Johnston.   

Abstract

High content screening (HCS) platforms integrate fluorescence microscopy with image analysis algorithms and informatics to automate cell analysis. The initial applications of HCS to secondary screening in drug discovery have spread throughout the discovery pipeline, and now into the expanding research field of systems cell biology, in which new manipulation tools enable the use of large scale screens to understand cellular pathways, and cell functions. In this chapter we discuss the requirements for HCS and the systems that have been designed to meet these application needs. The number of HCS systems available in the market place, and the range of features available, has grown considerably in the past 2 yr. Of the two general optical designs, the confocal systems have dominated the high-throughput HCS market, whereas the more cost effective wide-field systems have dominated all other market segments, and have a much larger market share. The majority of available systems have been optimized for fixed cell applications; however, there is growing interest in live cell kinetic assays, and four systems have successfully penetrated this application area. The breadth of applications for these systems continues to expand, especially with the integration of new technologies. New applications, improved software, better data visualization tools, and new detection methods such as multispectral imaging and fluorescence lifetime are predicted to drive the development of future HCS platforms.

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Mesh:

Year:  2007        PMID: 16988394     DOI: 10.1385/1-59745-217-3:41

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  9 in total

1.  Characterization and optimization of a novel protein-protein interaction biosensor high-content screening assay to identify disruptors of the interactions between p53 and hDM2.

Authors:  Drew D Dudgeon; Sunita N Shinde; Tong Ying Shun; John S Lazo; Christopher J Strock; Kenneth A Giuliano; D Lansing Taylor; Patricia A Johnston; Paul A Johnston
Journal:  Assay Drug Dev Technol       Date:  2010-08       Impact factor: 1.738

Review 2.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

3.  Fast image analysis for the micronucleus assay in a fully automated high-throughput biodosimetry system.

Authors:  Oleksandra V Lyulko; Guy Garty; Gerhard Randers-Pehrson; Helen C Turner; Barbara Szolc; David J Brenner
Journal:  Radiat Res       Date:  2014-02-06       Impact factor: 2.841

Review 4.  Parallel imaging microfluidic cytometer.

Authors:  Daniel J Ehrlich; Brian K McKenna; James G Evans; Anna C Belkina; Gerald V Denis; David H Sherr; Man Ching Cheung
Journal:  Methods Cell Biol       Date:  2011       Impact factor: 1.441

5.  The RABiT: a rapid automated biodosimetry tool for radiological triage. II. Technological developments.

Authors:  Guy Garty; Youhua Chen; Helen C Turner; Jian Zhang; Oleksandra V Lyulko; Antonella Bertucci; Yanping Xu; Hongliang Wang; Nabil Simaan; Gerhard Randers-Pehrson; Y Lawrence Yao; David J Brenner
Journal:  Int J Radiat Biol       Date:  2011-05-11       Impact factor: 2.694

6.  Single object profiles regression analysis (SOPRA): a novel method for analyzing high-content cell-based screens.

Authors:  Rajendra Kumar Gurumurthy; Klaus-Peter Pleissner; Cindrilla Chumduri; Thomas F Meyer; André P Mäurer
Journal:  BMC Bioinformatics       Date:  2022-10-21       Impact factor: 3.307

7.  The RABIT: a rapid automated biodosimetry tool for radiological triage.

Authors:  Guy Garty; Youhua Chen; Alessio Salerno; Helen Turner; Jian Zhang; Oleksandra Lyulko; Antonella Bertucci; Yanping Xu; Hongliang Wang; Nabil Simaan; Gerhard Randers-Pehrson; Y Lawrence Yao; Sally A Amundson; David J Brenner
Journal:  Health Phys       Date:  2010-02       Impact factor: 1.316

8.  Low-cost motility tracking system (LOCOMOTIS) for time-lapse microscopy applications and cell visualisation.

Authors:  Adam E Lynch; Junian Triajianto; Edwin Routledge
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

9.  Automated detection of soma location and morphology in neuronal network cultures.

Authors:  Burcin Ozcan; Pooran Negi; Fernanda Laezza; Manos Papadakis; Demetrio Labate
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

  9 in total

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