Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays

Along with the miniaturization and intellectualization of biomedical instruments, the increasing demand of health monitoring at anywhere and anytime elevates the need for the development of point of care testing (POCT). Photonic crystal beads (PCBs) as one kind of good encoded microcarriers can be i...

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Main Authors:	Yuan, Junjie, Zhao, Xiangwei, Wang, Xiaoxia, Gu, Zhongze
Format:	Online
Language:	English
Published:	Nature Publishing Group 2014
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208063/

id	pubmed-4208063
recordtype	oai_dc
spelling	pubmed-42080632014-10-27 Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays Yuan, Junjie Zhao, Xiangwei Wang, Xiaoxia Gu, Zhongze Article Along with the miniaturization and intellectualization of biomedical instruments, the increasing demand of health monitoring at anywhere and anytime elevates the need for the development of point of care testing (POCT). Photonic crystal beads (PCBs) as one kind of good encoded microcarriers can be integrated with microfluidic chips in order to realize cost-effective and high sensitive multiplex bioassays. However, there are difficulties in analyzing them towards automated analysis due to the characters of the PCBs and the unique detection manner. In this paper, we propose a strategy to take advantage of automated image processing for the color decoding of the PCBs array in the microfluidic chip for multiplex assays. By processing and alignment of two modal images of epi-fluorescence and epi-white light, every intact bead in the image is accurately extracted and decoded by PC colors, which stand for the target species. This method, which shows high robustness and accuracy under various configurations, eliminates the high hardware requirement of spectroscopy analysis and user-interaction software, and provides adequate supports for the general automated analysis of POCT based on PCBs array. Nature Publishing Group 2014-10-24 /pmc/articles/PMC4208063/ /pubmed/25341876 http://dx.doi.org/10.1038/srep06755 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Yuan, Junjie Zhao, Xiangwei Wang, Xiaoxia Gu, Zhongze
spellingShingle	Yuan, Junjie Zhao, Xiangwei Wang, Xiaoxia Gu, Zhongze Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays
author_facet	Yuan, Junjie Zhao, Xiangwei Wang, Xiaoxia Gu, Zhongze
author_sort	Yuan, Junjie
title	Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays
title_short	Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays
title_full	Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays
title_fullStr	Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays
title_full_unstemmed	Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays
title_sort	image decoding of photonic crystal beads array in the microfluidic chip for multiplex assays
description	Along with the miniaturization and intellectualization of biomedical instruments, the increasing demand of health monitoring at anywhere and anytime elevates the need for the development of point of care testing (POCT). Photonic crystal beads (PCBs) as one kind of good encoded microcarriers can be integrated with microfluidic chips in order to realize cost-effective and high sensitive multiplex bioassays. However, there are difficulties in analyzing them towards automated analysis due to the characters of the PCBs and the unique detection manner. In this paper, we propose a strategy to take advantage of automated image processing for the color decoding of the PCBs array in the microfluidic chip for multiplex assays. By processing and alignment of two modal images of epi-fluorescence and epi-white light, every intact bead in the image is accurately extracted and decoded by PC colors, which stand for the target species. This method, which shows high robustness and accuracy under various configurations, eliminates the high hardware requirement of spectroscopy analysis and user-interaction software, and provides adequate supports for the general automated analysis of POCT based on PCBs array.
publisher	Nature Publishing Group
publishDate	2014
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208063/
_version_	1613148342022307840

Image Decoding of Photonic Crystal Beads Array in the Microfluidic Chip for Multiplex Assays

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