High-Content Analysis Course DVD

Cambridge Healthtech Institute has been organizing the “original” High-Content Analysis meeting, a top event in the HCS field over the past seven years. Now CHI introduces a new DVD with a vendor-independent advanced course on instrumentation, reagents, and software/hardware for setting up an HCA lab. Coverage includes automation and instrument integration, assay development and optimization, data analysis and management, as well as case studies. The course is comprised of four parts and is expertly taught by HCA pioneers and long-time advisors for CHI’s High-Content Analysis conferences and web symposia.

INSTRUCTORS:

• Ann F. Hoffman, Senior Principal Scientist, Roche Discovery Technologies
• Karol Kozak, Ph.D., Head, Computation Analysis, HCA/HTS Informatics, LMC-RISC, Institute for Biochemistry
• Anthony Davies, Ph.D., Director, High-Content Research Facility, Clinical Medicine, Trinity College, Ireland

DVD RECORDED AT:
Cambridge Healthtech Institute’s High-Content Analysis East 2009, September 21-23, 2009, Boston, MA

PROGRAM:

Part 1: Setting up the HCA Lab
Anthony Davies, Ph.D., Director, High-Content Research Facility, Clinical Medicine, Trinity College, Ireland

• Issues in setting up a high-content screening laboratory
• Robotics and automation for HCA laboratory
• Staff and training for efficient operation

Part 2: Instrumentation: Choosing the Right Platform
Anthony Davies, Ph.D., Director, High-Content Research Facility, Clinical Medicine, Trinity College, Ireland

• Choosing the right HCA platform for your needs
• Comparison of HCA instruments on the market

Part 3: Assay Development
Ann F. Hoffman, Senior Principal Scientist, Roche Discovery Technologies 

• Development of “screenable” cell-based assays in short time periods
• Development of core and customized HCA assays, including experimental design, methods development and workflow
• Case studies in assay development

Part 4: Data Analysis and Management
Karol Kozak, Ph.D., Head, Computation Analysis, HCA/HTS Informatics, LMC-RISC, Institute for Biochemistry 

• Challenge of transforming large amount of data and images into actionable knowledge
• Setting-up IT infrastructure to implement and run large-scale HCS experiments
• Image analysis tools for large HCA data sets
• Data mining approaches, including image descriptors computations and classification algorithms
• Progress on data standards