High Content Analyzer

Genedata has enhanced its high content data analysis platform, Genedata Screener, with the addition of High Content Analyzer. As screening scientists are confronted with ever increasing volumes of complex HCS data, visualisation and analysis tools are required that ensure reliability, comparability and consistency of results from HCS experiments. The ability to interactively process, analyse, and review results throughout the workflow is also crucial for informed decision making and reliable hit list generation. Genedata Screener is an open, modular and scalable enterprise solution which addresses these screening demands. The Screener High Content Analyzer module combines HCS and HTS workflows in a single integrated application and provides a flexible and consistent solution for all screening processes.

High Content Analyzer features streamlined processing, systematic quality control and optimised management of HCS data. Due to its open architecture, it can flexibly capture and load assay data from any plate-based HCS instrument or image analysis software and can interface with in-house instrumentation and existing IT infrastructure. The collected information is then managed in a single application. Users can efficiently process multi-featured data sets ranging from one to more than a thousand plates. Experimental problems can be quickly and automatically detected through a combination of built-in algorithms, summary statistics and targeted visualisations. Specific quality issues can be identified and remedied on the complete data set using drill-downs to original HCS images.

Analysis and opinion

Robert Roe investigates some of the European projects focusing on preparing today’s supercomputers and HPC programmers for exascale HPC


The Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich in Germany has been operating supercomputers of the highest performance class since 1987. Tim Gillett talks to Norbert Attig and Thomas Eickermann


Gemma Church investigates how simulation and modelling de-risks the detection and extraction of geothermal energy resources


Robert Roe investigates the importance of upgrading legacy laboratory informatics systems and the benefits this provides to scientists