Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics
Author:
Affiliation:
1. Department of Electrical and Computer Engineering
2. University of Virginia
3. Charlottesville
4. USA
5. Department of Civil Engineering and Computer Science
6. University of Rome Tor Vergata
7. 00133 Rome
8. Italy
Abstract
Review of chip designs and data analytics to stratify heterogeneity in cellular systems via microfluidic impedance cytometry.
Funder
Ministero dell’Istruzione, dell’Università e della Ricerca
National Institutes of Health
Office of the Secretary of Defense
Publisher
Royal Society of Chemistry (RSC)
Subject
Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering
Link
http://pubs.rsc.org/en/content/articlepdf/2021/LC/D0LC00840K
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