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 visualization, reporting, collaboration, and persistence.
In this webinar, PerkinElmer and AMRI will present a case study wherein high-performance computing (HPC) was leveraged for ultimate performance in image and data analysis of High Content Screening experiments.
Key Learning Objectives |
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Panelists | |
Seungtaek Lee Product Manager, PerkinElmer Informatics Seungtaek Lee is the Product Manager for the TIBCO Spotfire portfolio focused on imaging and drug discovery workflows at PerkinElmer. Seungtaek came into PerkinElmer through the acquisition of Evotec Technologies in 2007 where he held various roles including application support, business development, and team leader for the High Content Screening portfolio. Prior to that, Seungtaek worked for Merck and successful started a centralized High Content Screening lab. Seungtaek holds a master’s degree in Bioengineering from University of Pennsylvania. |
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James LaRocque Sr Research Scientist II, Lead Discovery, Albany Molecular Research Inc. |