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Lab on a Chip

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


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

Corresponding authors
Department of Electrical Engineering, University of California Los Angeles (UCLA), USA
Department of Bioengineering, University of California Los Angeles (UCLA), USA
California Nanosystems Institute (CNSI), University of California Los Angeles (UCLA), USA
Division of Biology and Biological Engineering, California Institute of Technology, USA
Physics and Astronomy Department, University of California Los Angeles (UCLA), USA
Department of Microbiology, Immunology, and Molecular Genetics, University of California (UCLA), USA
Physics Department, University of Michigan, USA
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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