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Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom

By Mark Bray

Broad Institute of Harvard and MIT

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Date & Time:
Saturday, June 13 @ 2PM & Sunday June 14, @2PM

In this session, I will introduce the open-source and freely-available software package CellProfiler, designed to quantify cellular images obtained by fluorescence microscopy. There is strong and growing demand for software to analyze such images, as automated microscopes collect images faster than can be examined by eye and the information sought from images is increasingly quantitative and complex. CellProfiler provides powerful image analysis algorithms in a user-friendly interface, making it a useful introductory tool for students new to quantitative cellular analysis. During this session, I will demonstrate the software, provide vignettes of interesting research enabled by the software and give examples of prior educational applications.

Cite this work

Researchers should cite this work as follows:

  • Mark Bray (2015), "Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom,"

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