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Lab on a Chip

Miniaturisation for chemistry, physics, biology, materials science and bioengineering

Paper

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

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Corresponding authors
a
Department of Electrical Engineering, University of California Los Angeles (UCLA), USA
E-mail: ozcan@ucla.edu
Web: http://www.innovate.ee.ucla.edu, http://org.ee.ucla.edu
b
Department of Bioengineering, University of California Los Angeles (UCLA), USA
c
California Nanosystems Institute (CNSI), University of California Los Angeles (UCLA), USA
d
Division of Biology and Biological Engineering, California Institute of Technology, USA
e
Physics and Astronomy Department, University of California Los Angeles (UCLA), USA
f
Department of Microbiology, Immunology, and Molecular Genetics, University of California (UCLA), USA
g
Physics Department, University of Michigan, USA
h
Department of Surgery, David Geffen School of Medicine, University of California (UCLA), USA
Lab Chip, 2016,16, 4350-4358

DOI: 10.1039/C6LC00976J
Received 30 Jul 2016, Accepted 23 Sep 2016
First published online 23 Sep 2016
This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

This article is part of themed collection: Open access articles from Lab on a Chip
Open Access
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