Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics
Abstract
Review of chip designs and data analytics to stratify heterogeneity in cellular systems via microfluidic impedance cytometry.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2021
- Source ID
- 10.1039/d0lc00840k
Entities
People
- Carlos Honrado
- Federica Caselli
- Nathan S. Swami
- Paolo Bisegna
Organizations
- Ministry of Education, Universities and Research
- National Institutes of Health
- Office of the Secretary of Defense
- Sapienza University of Rome
- United States Army
- University of Virginia