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Machine learning and phase signatures in cell line classification

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Abstract

Optical phase signatures obtained from a telecentric DHM system input to machine learning algorithms classify cell lines of mesenchymal and epithelial morphologies with high accuracy, leading to sensitive and reproducible phenotypic profiling of cell lines.

© 2019 The Author(s)

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