CellProfiler Analyst allows interactive exploration and analysis of data, particularly from high-throughput, image-based experiments. Included is a supervised machine learning system which can be trained to recognize complicated and subtle phenotypes, for automatic scoring of millions of cells.
Download version for Mac here: App for Mac OS
Download version for Windows here: App for Windows
The app requires JDK 1.8 to be installed (not just JRE). Check the Java path.
Please note that this is the development branch of CPA and it will be updated on regular basis.
Find all releases here.
For a head start, download example dataset here: Example Dataset for CPA (zipped)
Building CPA on your machine requires CellProfiler dependencies.
CellProfiler Analyst development is discussed on the CellProfiler Forum list.
How to file new issues
Please attach sufficient information to reproduce the bug. For many bugs, it is appropriate to attach a properties file, a training set, or a screenshot.
David Dao, Adam Fraser, Vebjorn Ljosa, Thouis R. Jones, Jane Hung, Shantanu Singh, Mark Bray, Lee Kamentsky, Anne Carpenter
David Logan, Allen Goodman, Alison Kozol, Mohammad Hossein Rohban
Copyright 2016, The Broad Institute of MIT and Harvard. Distributed under the BSD license.