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Machine learning for stem cell differentiation and proliferation classification on electrical impedance spectroscopy Cover

Machine learning for stem cell differentiation and proliferation classification on electrical impedance spectroscopy

Journal of Electrical Bioimpedance
Volume 10 (2019): Issue 1 (January 2019)
By: André B. Cunha,  Jie Hou and  Christin Schuelke  
Open Access
|Dec 2019

Authors

André B. Cunha

Department of Physics, University of Oslo, Oslo, Norway

Jie Hou

jie.hou@fys.uio.no

Department of Physics, University of Oslo, Oslo, Norway

Christin Schuelke

Department of Physics, University of Oslo, Oslo, Norway
DOI: https://doi.org/10.2478/joeb-2019-0018 | Journal eISSN: 1891-5469
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Language: English
Page range: 124 - 132
Submitted on: Dec 1, 2019
|
Published on: Dec 31, 2019
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
machine learning,
electrical impedance spectroscopy,
stem cells,
differentiation,
proliferation,
recurrent neural networks,
long term short term memory
Related subjects:
Engineering,
Bioengineering and biomedical engineering,
Biomedical electronics,
Life sciences,
Biophysics,
Medicine,
Biomedical engineering,
Physics,
Spectroscopy and metrology

© 2019 André B. Cunha, Jie Hou, Christin Schuelke, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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