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Strategies and solutions to maintain and retain data from high content imaging, analysis, and screening assays

: Kozak, Karol; Rinn, Bernd; Leven, Oliver; Emmenlauer, Mario


Johnston, P.A.:
High Content Screening. A Powerful Approach to Systems Cell Biology and Drug Discovery
New York/NY: Humana Press, 2017 (Methods in molecular biology 1683)
ISBN: 978-1-4939-7355-2 (Print)
ISBN: 978-1-4939-7357-6 (Online)
ISBN: 1-4939-7355-X
Book Article
Fraunhofer IWS ()
assay development; database; high content screening; image visualization; IT infrastructure

Data analysis and management in high content screening (HCS) has progressed significantly in the past 10 years. The analysis of the large volume of data generated in HCS experiments represents a significant challenge and is currently a bottleneck in many screening projects. In most screening laboratories, HCS has become a standard technology applied routinely to various applications from target identification to hit identification to lead optimization. An HCS data management and analysis infrastructure shared by several research groups can allow efficient use of existing IT resources and ensures company-wide standards for data quality and result generation. This chapter outlines typical HCS workflows and presents IT infrastructure requirements for multi-well plate-based HCS.