Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning

Author:

Feizi Alborz12342,Zhang Yibo123,Greenbaum Alon12356,Guziak Alex723,Luong Michelle893,Chan Raymond Yan Lok123,Berg Brandon7231011,Ozkan Haydar123,Luo Wei123,Wu Michael123,Wu Yichen123,Ozcan Aydogan12342

Affiliation:

1. Department of Electrical Engineering

2. University of California Los Angeles (UCLA)

3. USA

4. Department of Bioengineering

5. Division of Biology and Biological Engineering

6. California Institute of Technology

7. Physics and Astronomy Department

8. Department of Microbiology, Immunology, and Molecular Genetics

9. University of California (UCLA)

10. Physics Department

11. University of Michigan

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.

Funder

National Science Foundation

Army Research Office

National Institutes of Health

Office of Naval Research

Howard Hughes Medical Institute

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Reference46 articles.

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2. The yeastSaccharomyces cerevisiae– the main character in beer brewing

3. Tailoring wine yeast for the new millennium: novel approaches to the ancient art of winemaking

4. Yeast cell factories on the horizon

5. Yeast selection for fuel ethanol production in Brazil

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