BIN 650 - High-Throughput Screening and Image Analysis

This course introduces the student to high-content screening, at all steps of the workflow. The course will begin with a brief introduction to cell biology and the necessary reagents and equipment for a high-content assay. The majority of the course will then focus on high-content screening design, including choice of experimental conditions, metrics for acquisition and interpretation of data, processing of image data, and statistical analyses of image data. Challenges associated with high-content screening will be noted, including experimental limitations and how to manage the vast quantity of data associated with high-content screening. The class will learn the high-content screening workflow from the framework of individual experiments, but the additional steps and requirements needed to scale up assays via automation will also be covered. Last, the utility of machine learning to the analysis of large
datasets will be introduced.

Credits: 3