A robust unsupervised machine-learning method to quantify the morphological heterogeneity of cells and nuclei

Pei-Hsun Wu, Denis Wirtz, Jude M. Phillip, Kyu-Sang Han, Wei-Chiang Chen

Published: 2021-01-10 DOI: 10.1038/s41596-020-00432-x

Supplementary information

Example input files for the protocol procedures, including fluorescence images of phalloidin-stained mouse embryonic fibroblast, their segmented images, CellProfiler segmentation workflow pipeline file, lists of segmented images for building and applying the model in CSV format, and example output files generated during the analysis.

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A robust unsupervised machine-learning method to quantify the morphological heterogeneity of cells and nuclei

Supplementary information

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