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 studies lookin...

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Autores principales: Remy Elbez, Jeff Folz, Alan McLean, Hernan Roca, Joseph M. Labuz, Kenneth J. Pienta, Shuichi Takayama, Raoul Kopelman
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Medicine
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Science
Q
Acceso en línea:https://doaj.org/article/fdb6ebe73a384d29930d6889ca7e3b22
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Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.
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