CellProfiler [SEP] programming language
Technology. It is currently developed and maintained by the Carpenter Lab at the Imaging Platform of the Broad Institute.
Originally developed in MATLAB, it was re-written in Python and released as CellProfiler 2.0 in 2010. Version 3.0, supporting volumetric analysis of 3D image stacks and optional deep learning modules, was released in October 2017.
Community.
Because CellProfiler is a free, open-source project, anyone can develop their own image processing algorithms as a new module for CellProfiler and contribute it to the project.
CellProfiler
CellProfiler 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.