Article

Generalizable Morphological Profiling of Cells by Interpretable Unsupervised Learning

2024-09-26

Abstract excerpt

The intersection of advanced microscopy and machine learning is revolutionizing cell biology into a quantitative, data-driven science. While traditional morphological profiling of cells relies on labor-intensive manual feature extraction susceptible to biases, deep learning offers promising alternatives but struggles with the interpretability of its black-box operation and dependency on extensive labeled data. We...

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Literature Corpus work: 812e1085-7c5f-5f74-a26d-e51cec5a58bc
DOI: 10.1101/2024.09.24.614684

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