A Machine Learning‐Assisted Nanoparticle‐Printed Biochip for Real‐Time Single Cancer Cell Analysis

Author:

Joshi Kushal1,Javani Alireza2,Park Joshua2,Velasco Vanessa3,Xu Binzhi4,Razorenova Olga4,Esfandyarpour Rahim12ORCID

Affiliation:

1. Department of Biomedical Engineering University of California Irvine Irvine CA 92697 USA

2. Department of Electrical Engineering University of California Irvine Irvine CA 92697 USA

3. Biochemistry Department Stanford University Palo Alto CA 94305 USA

4. Department of Molecular Biology and Biochemistry University of California Irvine Irvine CA 92697 USA

Publisher

Wiley

Subject

General Biochemistry, Genetics and Molecular Biology,Biomedical Engineering,Biomaterials

Reference38 articles.

1. Microfluidics for single cell analysis

2. Single cell analysis: the new frontier in ‘omics’

3. Electrical Characterization of Normal and Cancer Cells

4. Electric impedance microflow cytometry for characterization of cell disease states

5. R.Esfandyarpour Z.Koochak J. S.Harris R. W.Davis inProc. 2015 18thInternational Conference on Solid‐State Sensors Actuators and Microsystems (Transducers) IEEE Anchorage AK USA2015.

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