NOV 04, 2020 8:00 AM PST

Overcoming barriers to productivity in HCS - An image-to-answer solution for biologists

Sponsored by: Cytiva
C.E. Credits: Florida CE P.A.C.E. CE
Speakers

Abstract
Date:  November 4, 2020
Time: 8:00am (PDT),  11:00am (EDT)
 
High-content screening (HCS) is widely used for research in quantitative cellular biology and has proven to be a valuable tool in drug discovery. The multi-step process of deriving answers from image data, however, remains complex and fraught with challenges limiting productivity. Cytiva and Core Life Analytics have partnered to offer an end-to-end software solution that addresses these challenges. By removing the need for specialized expertise, we have empowered research biologists to carry out their own data analysis. With an intuitive workflow-driven design, machine learning, and cloud computing, researchers can leverage cutting-edge image analysis and statistical data mining methods to improve assay sensitivity and shorten the time from image to answer.
 
Learning Objectives
  • Review the importance of quality control in high-content screening and summarize best practices to minimize sources of error in the analysis pipeline
  • Describe the impact of improved segmentation accuracy on the overall endpoint of high content screens
  • Discuss how the “big data” problem can be addressed with cloud-based comprehensive statistical analysis and interactive data visualization
 
 
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