Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.

Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.

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We define cell morphodynamics as the cell's time dependent morphology. It could be called the cell's shape shifting ability. To measure it we use a biomarker free, dynamic histology method, which is based on multiplexed Cell Magneto-Rotation and Machine Learning. We note that standard stud...

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Main Authors: Remy Elbez, Jeff Folz, Alan McLean, Hernan Roca, Joseph M Labuz, Kenneth J Pienta, Shuichi Takayama, Raoul Kopelman
Format: article
Language:EN
Published: Public Library of Science (PLoS) 2021
Subjects:
Medicine
R
Science
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Online Access:https://doaj.org/article/7d9d28b6489a4aaca7926164c4793e2f
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Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning
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