Running the software from Linux currently requires use of the source code, which is beyond the scope of this document.ĬellProfiler Analyst is distributed under the BSD-3 Clause (see LICENSE.txt). Classifier allows you to train the computer to identify objects of interest by applying iterative, user-supervised machine learning methods to object. CellProfiler Analyst is tested on MacOS 10.10 and 10.11, Windows 7 and 10, and to a lesser extent Linux. David Dao currently leads the development of CellProfiler Analyst. It also contains a supervised machine learning system that can be trained to recognize complicated and subtle phenotypes, enabling automatic scoring of millions of cells. Sabatini and Polina Golland at the Whitehead Institute for Biomedical Research and MIT’s CSAIL. CellProfiler Analyst software allows interactive exploration and analysis of multidimensional data, particularly data from high-throughput, image-based experiments. Classify complex or subtle phenotypes using machine learning. Explore your data through interactive visualizations that link to images. Carpenter and Thouis (Ray) Jones in the laboratories of David M. Designed for biologists Import your data from CellProfiler. ![]() The CellProfiler project is based at the Broad Institute Imaging Platform.
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