Thermo Fisher Scientific has announced the availability of HCSDiscover, a data-mining tool for high-content applications, which will be demonstrated at the SBS Annual Conference.
Developed by Genedata in collaboration with Thermo Fisher Scientific, the HCSDiscover software enables scientists to gain deeper insights into high-content data, increasing productivity through better decision-making.
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 visualisation, mining and decision-making; and integration of high-content data with other discovery data.
Providing ease-of-use and simple deployment, HCSDiscover minimises installation and training time.
The software incorporates a workflow-based, task-oriented user interface.
HCSDiscover delivers customisable tools and visual analytics that synchronise data and image display, while ensuring consistent analyses of high content data from any source.
HCSDiscover incorporates a 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.
