Overview
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Learn to use CellProfiler, a free open-source software platform for quantitative analysis of biological images, through this comprehensive tutorial series from the Broad Institute. Master the fundamentals of image analysis without requiring any programming or computer vision background. Start with getting familiar with the software interface and basic operations, then progress to constructing analysis pipelines for your specific research needs. Explore techniques for annotating nuclei using GIMP integration, targeting diseases through morphological profiling approaches, and examining image data systematically. Develop skills in scoring cell populations and implementing machine learning methods for cell classification. Discover how to integrate CellProfiler with FCS Express 4 for advanced image cytometry workflows. Gain practical experience with real biological image datasets while learning to extract quantitative measurements that can advance your research in cell biology, drug discovery, and disease analysis.
Syllabus
Annotating Nuclei with GIMP and CellProfiler
Cell Profiler: Targeting diseases via morphological profiling (2017)
CellProfiler: Getting Started
CellProfiler: Constructing pipelines
Using CellProfiler and FCS Express 4 Image Cytometry
CellProfiler: Exploring Image Data
CellProfiler: Scoring Cell Populations
CellProfiler: Classifying Cells with Machine Learning
Taught by
Broad Institute