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Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing
As an emerging technology, fluorescence immunochromatographic assay (FICA) has the advantages of high sensitivity, strong stability and specificity, which is widely used in the fields of medical testing, food safety and environmental monitoring. The FICA reader based on image processing meets the ne...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983260/ https://www.ncbi.nlm.nih.gov/pubmed/31905939 http://dx.doi.org/10.3390/s20010209 |
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author | Jiang, Ruixin Wu, Huihuang Yang, Jianpeng Jiang, Haiyan Du, Min Vai, Mangi Pun, Siohang Gao, Yueming |
author_facet | Jiang, Ruixin Wu, Huihuang Yang, Jianpeng Jiang, Haiyan Du, Min Vai, Mangi Pun, Siohang Gao, Yueming |
author_sort | Jiang, Ruixin |
collection | PubMed |
description | As an emerging technology, fluorescence immunochromatographic assay (FICA) has the advantages of high sensitivity, strong stability and specificity, which is widely used in the fields of medical testing, food safety and environmental monitoring. The FICA reader based on image processing meets the needs of point-of-care testing because of its simple operation, portability and fast detection speed. However, the image gray level of common image sensors limits the detection range of the FICA reader, and high-precision image sensors are expensive, which is not conducive to the popularization of the instrument. In this paper, FICA strips’ image was collected using a common complementary metal oxide semiconductor (CMOS) image sensor and a range adjustment mechanism was established to automatically adjust the exposure time of the CMOS image sensor to achieve the effect of range expansion. The detection sensitivity showed a onefold increase, and the upper detection limit showed a twofold increase after the proposed method was implemented. In addition, in the experiments of linearity and accuracy, the fitting degree (R(2)) of the fitted curves both reached 0.999. Therefore, the automatic range adjustment method can obviously improve the detection range of the FICA reader based on image processing. |
format | Online Article Text |
id | pubmed-6983260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69832602020-02-06 Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing Jiang, Ruixin Wu, Huihuang Yang, Jianpeng Jiang, Haiyan Du, Min Vai, Mangi Pun, Siohang Gao, Yueming Sensors (Basel) Article As an emerging technology, fluorescence immunochromatographic assay (FICA) has the advantages of high sensitivity, strong stability and specificity, which is widely used in the fields of medical testing, food safety and environmental monitoring. The FICA reader based on image processing meets the needs of point-of-care testing because of its simple operation, portability and fast detection speed. However, the image gray level of common image sensors limits the detection range of the FICA reader, and high-precision image sensors are expensive, which is not conducive to the popularization of the instrument. In this paper, FICA strips’ image was collected using a common complementary metal oxide semiconductor (CMOS) image sensor and a range adjustment mechanism was established to automatically adjust the exposure time of the CMOS image sensor to achieve the effect of range expansion. The detection sensitivity showed a onefold increase, and the upper detection limit showed a twofold increase after the proposed method was implemented. In addition, in the experiments of linearity and accuracy, the fitting degree (R(2)) of the fitted curves both reached 0.999. Therefore, the automatic range adjustment method can obviously improve the detection range of the FICA reader based on image processing. MDPI 2019-12-30 /pmc/articles/PMC6983260/ /pubmed/31905939 http://dx.doi.org/10.3390/s20010209 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jiang, Ruixin Wu, Huihuang Yang, Jianpeng Jiang, Haiyan Du, Min Vai, Mangi Pun, Siohang Gao, Yueming Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing |
title | Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing |
title_full | Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing |
title_fullStr | Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing |
title_full_unstemmed | Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing |
title_short | Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing |
title_sort | automatic range adjustment of the fluorescence immunochromatographic assay based on image processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983260/ https://www.ncbi.nlm.nih.gov/pubmed/31905939 http://dx.doi.org/10.3390/s20010209 |
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