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Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis
Human blood is an important medical detection index. With the development in clinical medical detection instruments and detection technology, the requirements for detection accuracy and efficiency have been gradually improved. Fluorescent immunochromatography is a new detection technique. It has the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942821/ https://www.ncbi.nlm.nih.gov/pubmed/31934322 http://dx.doi.org/10.1155/2019/1672940 |
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author | Shao, Lei Zhang, Longyu Li, Shilin Zhang, Pengyuan |
author_facet | Shao, Lei Zhang, Longyu Li, Shilin Zhang, Pengyuan |
author_sort | Shao, Lei |
collection | PubMed |
description | Human blood is an important medical detection index. With the development in clinical medical detection instruments and detection technology, the requirements for detection accuracy and efficiency have been gradually improved. Fluorescent immunochromatography is a new detection technique. It has the characteristics of high efficiency, convenience, no pollution, and wide detection range. Human blood can be detected quickly using fluorescent immunochromatography. At present, it has received great attention from the field of clinical testing. In this paper, a set of fluorescent immunochromatographic analyzer has been designed. It is mainly based on the principle of fluorescence immunochromatography. A new method of signal analysis and system design for fluorescent immunochromatography analyzer is proposed. By using the improved threshold function denoising algorithm, the quantitative detection of fluorescent immunochromatographic strip is realized. The concentration of pathogenic factors (cancer cells) in human serum can be measured conveniently and accurately. The system integrates many peripheral modules, including fluorescence signal acquisition, fluorescence signal processing, quantitative curve fitting, and test results. In this paper, the quantitative detection experiments of the system are carried out in three aspects: linearity, repeatability, and sensitivity. The experimental results show that the linear correlation coefficient is up to 0.9976, and the limit of detection is up to 0.05 ng/ml. The requirements of the system are satisfied. The system performance is good, and the quantitative result is accurate. Therefore, the establishment of a fluorescence analysis system is of great significance. |
format | Online Article Text |
id | pubmed-6942821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-69428212020-01-13 Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis Shao, Lei Zhang, Longyu Li, Shilin Zhang, Pengyuan J Healthc Eng Research Article Human blood is an important medical detection index. With the development in clinical medical detection instruments and detection technology, the requirements for detection accuracy and efficiency have been gradually improved. Fluorescent immunochromatography is a new detection technique. It has the characteristics of high efficiency, convenience, no pollution, and wide detection range. Human blood can be detected quickly using fluorescent immunochromatography. At present, it has received great attention from the field of clinical testing. In this paper, a set of fluorescent immunochromatographic analyzer has been designed. It is mainly based on the principle of fluorescence immunochromatography. A new method of signal analysis and system design for fluorescent immunochromatography analyzer is proposed. By using the improved threshold function denoising algorithm, the quantitative detection of fluorescent immunochromatographic strip is realized. The concentration of pathogenic factors (cancer cells) in human serum can be measured conveniently and accurately. The system integrates many peripheral modules, including fluorescence signal acquisition, fluorescence signal processing, quantitative curve fitting, and test results. In this paper, the quantitative detection experiments of the system are carried out in three aspects: linearity, repeatability, and sensitivity. The experimental results show that the linear correlation coefficient is up to 0.9976, and the limit of detection is up to 0.05 ng/ml. The requirements of the system are satisfied. The system performance is good, and the quantitative result is accurate. Therefore, the establishment of a fluorescence analysis system is of great significance. Hindawi 2019-12-24 /pmc/articles/PMC6942821/ /pubmed/31934322 http://dx.doi.org/10.1155/2019/1672940 Text en Copyright © 2019 Lei Shao et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shao, Lei Zhang, Longyu Li, Shilin Zhang, Pengyuan Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis |
title | Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis |
title_full | Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis |
title_fullStr | Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis |
title_full_unstemmed | Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis |
title_short | Design and Quantitative Analysis of Cancer Detection System Based on Fluorescence Immune Analysis |
title_sort | design and quantitative analysis of cancer detection system based on fluorescence immune analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942821/ https://www.ncbi.nlm.nih.gov/pubmed/31934322 http://dx.doi.org/10.1155/2019/1672940 |
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