CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis.

Journal: Bioinformatics (Oxford, England)
Published Date: Nov 5, 2021

Abstract

SUMMARY: Image-based experiments can yield many thousands of individual measurements describing each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free, open-source software package designed for the exploration of quantitative image-derived data and the training of machine learning classifiers with an intuitive user interface. We have now released CellProfiler Analyst 3.0, which in addition to enhanced performance adds support for neural network classifiers, identifying rare object subsets, and direct transfer of objects of interest from visualization tools into the Classifier tool for use as training data. This release also increases interoperability with the recently released CellProfiler 4, making it easier for users to detect and measure particular classes of objects in their analyses.

Authors

  • David R Stirling
    Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Anne E Carpenter
    The Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, United States. Electronic address: anne@broadinstitute.org.
  • Beth A Cimini
    Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Keywords

External Resources

Popular Topics
Recent Journals