Automated interpretation of time-lapse quantitative phase image by machine learning to study cellular dynamics during epithelial–mesenchymal transition-Reference-Cited by-同舟云学术

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Automated interpretation of time-lapse quantitative phase image by machine learning to study cellular dynamics during epithelial–mesenchymal transition

Published:2020-08-18 Issue:08 Volume:25 Page:
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:
Short-container-title:J. Biomed. Opt.

Author:

Strbkova Lenka¹,Carson Brittany B.²,Vincent Theresa²,Vesely Pavel³,Chmelik Radim³

Affiliation:

1. Brno University of Technology, Central European Institute of Technology, Brno

2. Uppsala University, Department of Immunology, Genetics, and Pathology (IGP), Rudbeck Laboratory, Upp

3. Brno University of Technology, Institute of Physical Engineering, Faculty of Mechanical Engineering,

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

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