Article

Quantitative comparison of principal component analysis and unsupervised deep learning using variational autoencoders for shape analysis of motile cells

2020-06-27

Abstract excerpt

<h4>ABSTRACT</h4> Cell motility is a crucial biological function for many cell types, including the immune cells in our body that act as first responders to foreign agents. In this work we consider the amoeboid motility of human neutrophils, which show complex and continuous morphological changes during locomotion. We imaged live neutrophils migrating on a 2D plane and extracted unbiased shape representations usi...

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Literature Corpus work: 89cc7576-ee2b-5c42-97b2-d90873792880
DOI: 10.1101/2020.06.26.174474

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