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HomeEducationScienceCellProfiler Analyst

CellProfiler Analyst for Mac

Interactive exploration and analysis of data.

In English
Version 3.0.4

CellProfiler Analyst overview

CellProfiler Analyst (CPA) allows interactive exploration and analysis of data, particularly from high-throughput, image-based experiments. Its most popular feature is a supervised machine learning system ("Classifier") that can be trained to recognize complicated and subtle phenotypes, for automatic scoring of millions of cells. CPA provides tools for exploring and analyzing multidimensional data, particularly data from high-throughput, image-based experiments analyzed by its companion image analysis software, CellProfiler.

The CellProfiler project is based at the Broad Institute Imaging Platform. It was started by Anne E. Carpenter and Thouis (Ray) Jones in the laboratories of David M. Sabatini and Polina Golland at the Whitehead Institute for Biomedical Research and MIT’s CSAIL.

Import your data from CellProfiler

Explore your data through interactive visualizations that link to images

Classify complex or subtle phenotypes using machine learning

What’s new in version 3.0.4

Version 3.0.4:
  • Fixed "Score All" functionality with the FastGentleBoosting model type.
  • Revised t-SNE feature naming to be more compatible with SQLite.
  • Gates created in the Dimensionality Reduction module will be cleared when switching reduction method (as the measures from the previously selected method are overwritten).

CellProfiler Analyst for Mac

In English
Version 3.0.4
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