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.

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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Bibliographic Details
Main Authors: Remy Elbez, Jeff Folz, Alan McLean, Hernan Roca, Joseph M Labuz, Kenneth J Pienta, Shuichi Takayama, Raoul Kopelman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0259462

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https://doi.org/10.1371/journal.pone.0259462

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