Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105049
Title: A contact-imaging based microfluidic cytometer with machine-learning for single-frame super-resolution processing
Authors: Huang, Xiwei
Guo, Jinhong
Wang, Xiaolong
Yan, Mei
Kang, Yuejun
Yu, Hao
Keywords: DRNTU::Engineering::Chemical engineering::Biochemical engineering
Issue Date: 2014
Source: Huang, X., Guo, J., Wang, X., Yan, M., Kang, Y., & Yu, H. (2014). A Contact-Imaging Based Microfluidic Cytometer with Machine-Learning for Single-Frame Super-Resolution Processing. PLoS ONE, 9(8), e104539-.
Series/Report no.: PLoS one
Abstract: Lensless microfluidic imaging with super-resolution processing has become a promising solution to miniaturize the conventional flow cytometer for point-of-care applications. The previous multi-frame super-resolution processing system can improve resolution but has limited cell flow rate and hence low throughput when capturing multiple subpixel-shifted cell images. This paper introduces a single-frame super-resolution processing with on-line machine-learning for contact images of cells. A corresponding contact-imaging based microfluidic cytometer prototype is demonstrated for cell recognition and counting. Compared with commercial flow cytometer, less than 8% error is observed for absolute number of microbeads; and 0.10 coefficient of variation is observed for cell-ratio of mixed RBC and HepG2 cells in solution.
URI: https://hdl.handle.net/10356/105049
http://hdl.handle.net/10220/20408
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0104539
Schools: School of Chemical and Biomedical Engineering 
School of Electrical and Electronic Engineering 
Rights: © 2014 Huang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
SCBE Journal Articles

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