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.
- 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
Webinars will be available for unlimited on-demand viewing after live event.
LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.