Thermo Fisher Scientific Launches New Software Tool for High Content Screening at the SBS Annual Conference and Exhibition 2009

28th April 2009
Posted By : ES Admin
Thermo Fisher Scientific Launches New Software Tool for High Content Screening at the SBS Annual Conference and Exhibition 2009
Thermo Fisher Scientific Inc. today announced the availability of HCSDiscover, a new data mining tool for High Content applications. Developed by Genedata AG, in collaboration with Thermo Fisher Scientific, the Thermo Scientific Cellomics HCSDiscover software enables scientists to gain deeper insights into High Content data, ultimately increasing productivity through better decision-making. HCSDiscover will be exclusively demonstrated on booth # 176 at the SBS Annual Conference and Exhibition, April 26-30 2009, Lille, France.
HCSDiscover is specifically designed for researchers dealing with a large volume of multiparameter High Content data, in particular those working with compound or RNAi screening, toxicity profiling and systems biology research.
HCSDiscover addresses key business needs of these users, including post image analysis data visualization, mining and decision-making; integration of High Content data with other discovery data and the need for open, best-in-class tools for High Content.

Providing ease-of-use and simple deployment, HCSDiscover minimizes installation and training time. Incorporating a workflow-based, task-oriented user interface HCSDiscover has a short learning curve, yet offers powerful functionality. Drawing on Thermo Fisher's 10 year pedigree in cellular bioinformatics and Genedata's expertise HCSDiscover delivers powerful, customizable tools and innovative visual analytics that synchronize data and image display, while ensuring consistent analyses of High Content data from any source.

HCSDiscover incorporates a unique rule-based mining tool to leverage the power of multi-parameter data and with additional features including curve fitting and outlier removal, researchers can gain increasing confidence in High Content data and reach a deeper understanding of their biology. The ability to create new measurements by combining existing feature data enables researchers to explore more biologies and overcome image analysis limitations.


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