Description

Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection.

This course will introduce users to the free open-source image analysis program CellProfiler and its companion data exploration program CellProfiler Analyst.  We will show how CellProfiler can be used to analyse a variety of types of imaging experiments.  We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes.

Prerequisites

• Researchers who want to extract quantitative information from microscopy images
• Basic knowledge of fluorescence microscopy and digital image acquisition assumed.
• No computational expertise is required.

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