Capturing complexities of cell biology: Pushing the boundaries of imaging assays

Discover how recent advances in high-content imaging, improved 3D cell models, machine learning and novel microscopy techniques are empowering researchers to get more biologically relevant, actionable data from their samples whilst accelerating throughput. In this webinar, three experts will showcase a number of applications using 3D cell models, as well as showing the power of the cell painting assay for high-content phenotypic profiling.

Key learning objectives

• Understand the advantages and challenges of using 3D biological models for biological assays across a range of assay types.
• Discover how to improve throughput, image quality and data quality from 3D assays across a range of applications.
• Understand how machine learning and artificial intelligence can be used for image segmentation and analysis.
• Learn about how cell painting can be used to generate vast amounts of quantitative data at a single-cell resolution to generate novel insights.

Who should attend?

• Imaging core facility managers
• Microscopists
• Cell biologists
• Scientists involved in high-content/high-throughput screening
• Early-stage drug discovery or/and cancer research.

Certificate of attendance

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.