Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning
Abstract
We demonstrate a field-portable and automatic yeast analysis platform that can rapidly measure cell concentration and viability using on-chip microscopy and machine learning.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2016
- Source ID
- 10.1039/c6lc00976j
Entities
People
- Alborz Feizi
- Alex Guziak
- Alon Greenbaum
- Aydoğan Özcan
- Brandon Berg
- Chung‐Tse Michael Wu
- Haydar Ozkan
- Michelle Luong
- Raymond Yan Lok Chan
- Wei Luo
- Yibo Zhang
- Yichen Wu
Organizations
- Army Research Office
- California Institute of Technology
- Howard Hughes Medical Institute
- National Institutes of Health
- National Science Foundation
- Office of Naval Research
- United States Army
- University of California
- University of California, Los Angeles
- University of Michigan