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Image-based experiments can yield many thousands of individual measurementsdescribing each object of interest, such as cells in microscopy screens.CellProfiler Analyst is a free, open-source software package designed for theexploration of quantitative image-derived data and the training of machinelearning classifiers with an intuitive user interface. We have now releasedCellProfiler Analyst 3.0, which in addition to enhanced performance addssupport for neural network classifiers, identifying rare object subsets, anddirect transfer of objects of interest from visualisation tools into theClassifier tool for use as training data. This release also increasesinteroperability with the recently released CellProfiler 4, making it easierfor users to detect and measure particular classes of objects in theiranalyses.

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