High Content Screening Informatics

High Content Screening Informatics is a part of High Content Screening (HCS) technology which require to transform data into useful information and then into knowledge to drive decision making in an efficient and cost effective manner.
High Content Screening Informatics elements:
Databases
Laboratory information management system
Image Processing
Quality Control
Data mining
Pattern Recognition
Bioinformatics
Needs
‘High-throughput’ in High-content screening is relative: although instruments that acquire in the range of 100 000 images per day are already marketed, this is still not comparable to the throughput of classical HTS. Assays get more and more complex, consequently assay development times become prolonged. Further, standardization of cell culture conditions is a
major challenge. Major investments have to be made to gather a critical mass of instrumentation, image analysis tools and IT infrastructure. The data load per run of a screen may easily go beyond the one Terabyte border, and the processing of the hundreds of thousands of images applying complex image analysis software and algorithms requires an extraordinarily powerful IT infrastructure. In this article we will give an overview of the considerations that should be kept in mind while setting-up the infrastructure to implement and successfully run large-scale high-content siRNA screens for functional genomics.
With the growing use of HCS and analysis in drug discovery and systems biology, informatics has come to the forefront as a critical technology to effectively utilize the massive volumes of high content data and images being generated.

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