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Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps
The desire to develop new point-of-care (POC) diagnostic tools has led to the adaptation of smartphones to tackle limitations in state-of-the-art instrumentation and centralized laboratory facilities. Today’s smartphones possess the computer-like ability to image and process data using mobile apps;...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485167/ https://www.ncbi.nlm.nih.gov/pubmed/26122608 http://dx.doi.org/10.1038/srep11727 |
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author | Wong, Jessica X. H. Li, Xiaochun Liu, Frank S. F. Yu, Hua-Zhong |
author_facet | Wong, Jessica X. H. Li, Xiaochun Liu, Frank S. F. Yu, Hua-Zhong |
author_sort | Wong, Jessica X. H. |
collection | PubMed |
description | The desire to develop new point-of-care (POC) diagnostic tools has led to the adaptation of smartphones to tackle limitations in state-of-the-art instrumentation and centralized laboratory facilities. Today’s smartphones possess the computer-like ability to image and process data using mobile apps; barcode scanners are one such type of apps. We demonstrate herein that a diagnostic assay can be performed by patterning immunoassay strips in a bona fide barcode format such that after target binding and signal enhancement, the linear barcode can be read directly with a standard smartphone app. Quantitative analysis can then be performed based on the grayscale intensities with a customized mobile app. This novel diagnostic concept has been validated for a real-world application, i.e., the detection of human chorionic gonadotropin, a pregnancy hormone. With the possibility of multiplex detection, the barcode assay protocol promises to boost POC diagnosis research by the direct adaptation of mobile devices and apps. |
format | Online Article Text |
id | pubmed-4485167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44851672015-07-08 Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps Wong, Jessica X. H. Li, Xiaochun Liu, Frank S. F. Yu, Hua-Zhong Sci Rep Article The desire to develop new point-of-care (POC) diagnostic tools has led to the adaptation of smartphones to tackle limitations in state-of-the-art instrumentation and centralized laboratory facilities. Today’s smartphones possess the computer-like ability to image and process data using mobile apps; barcode scanners are one such type of apps. We demonstrate herein that a diagnostic assay can be performed by patterning immunoassay strips in a bona fide barcode format such that after target binding and signal enhancement, the linear barcode can be read directly with a standard smartphone app. Quantitative analysis can then be performed based on the grayscale intensities with a customized mobile app. This novel diagnostic concept has been validated for a real-world application, i.e., the detection of human chorionic gonadotropin, a pregnancy hormone. With the possibility of multiplex detection, the barcode assay protocol promises to boost POC diagnosis research by the direct adaptation of mobile devices and apps. Nature Publishing Group 2015-06-30 /pmc/articles/PMC4485167/ /pubmed/26122608 http://dx.doi.org/10.1038/srep11727 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 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 to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wong, Jessica X. H. Li, Xiaochun Liu, Frank S. F. Yu, Hua-Zhong Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps |
title | Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps |
title_full | Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps |
title_fullStr | Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps |
title_full_unstemmed | Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps |
title_short | Direct Reading of Bona Fide Barcode Assays for Diagnostics with Smartphone Apps |
title_sort | direct reading of bona fide barcode assays for diagnostics with smartphone apps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4485167/ https://www.ncbi.nlm.nih.gov/pubmed/26122608 http://dx.doi.org/10.1038/srep11727 |
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