CellProfiler

CellProfiler
Developer(s)Anne E. Carpenter, Thouis Jones, Lee Kamentsky, Beth Cimini, Allen Goodman, Claire McQuin, Madison Swain-Bowden, David Stirling, Nodar Gogoberidze, and others (Broad Institute)
Stable release
4.2.1 / July 22, 2021; 3 years ago (2021-07-22)
Repository
Operating systemAny (Python-based)
TypeImage processing & Image analysis
LicenseBSD 3-clause
Websitewww.cellprofiler.org

CellProfiler[1][2] is free, open-source software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. Advanced algorithms for image analysis are available as individual modules that can be placed in sequential order together to form a pipeline; the pipeline is then used to identify and measure biological objects and features in images, particularly those obtained through fluorescence microscopy.

Distributions are available for Microsoft Windows, macOS, and Linux. The source code for CellProfiler is freely available.[3] CellProfiler is developed by the Broad Institute's Imaging Platform.[4]

  1. ^ Carpenter AE, Jones TR, Lamprecht MR, Clarke C, Kang IH, Friman O, Guertin DA, Chang JH, Lindquist RA, Moffat J, Golland P, Sabatini DM (2006). "CellProfiler: image analysis software for identifying and quantifying cell phenotypes". Genome Biology. 7 (10): R100. doi:10.1186/gb-2006-7-10-r100. PMC 1794559. PMID 17076895.
  2. ^ Kamentsky L, Jones TR, Fraser A, Bray MA, Logan DJ, Madden KL, Ljosa V, Rueden C, Eliceiri KW, Carpenter AE (April 2011). "Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software". Bioinformatics. 27 (8): 1179–80. doi:10.1093/bioinformatics/btr095. PMC 3072555. PMID 21349861.
  3. ^ "CellProfiler wiki". GitHub. December 2016.
  4. ^ "Imaging Platform". Broad Institute. 2018.