High performance computing for high content screening – A case study
Supported by:
28 March 2017
Using today’s data analysis systems, researchers conducting phenotypic screening campaigns at pharmaceutical companies processing approximately 500,000 compounds estimate image and data analysis time of at least three months.
Furthermore, multiple disparate software systems are used at various stages of the workflow including image analysis, cell level data analysis, well level data analysis, hit stratification, multivariate/machine learning data analysis and visualisation, reporting, collaboration, and persistence.
In this webinar, PerkinElmer and AMRI present a case study wherein high-performance computing (HPC) was leveraged for enhanced performance in image and data analysis of High Content Screening experiments.
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Related topics
Analysis, Hit-to-Lead, Imaging, Informatics, Screening
Related organisations
PerkinElmer
