A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer

Abstract In order to improve the accuracy and reliability of micropipetting, a method of micro-pipette detection and calibration combining the dynamic pressure monitoring in pipetting process and quantitative identification of pipette volume in image processing was proposed. Firstly, the normalized...

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Autores principales:	Zhiwu Shang, Xiangping Zhou, Cheng Li, Sang-Bing Tsai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a92bdadaad0448ea83c90662a5c8f36e
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spelling	oai:doaj.org-article:a92bdadaad0448ea83c90662a5c8f36e2021-12-02T11:41:04ZA Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer10.1038/s41598-018-24145-02045-2322https://doaj.org/article/a92bdadaad0448ea83c90662a5c8f36e2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-24145-0https://doaj.org/toc/2045-2322Abstract In order to improve the accuracy and reliability of micropipetting, a method of micro-pipette detection and calibration combining the dynamic pressure monitoring in pipetting process and quantitative identification of pipette volume in image processing was proposed. Firstly, the normalized pressure model for the pipetting process was established with the kinematic model of the pipetting operation, and the pressure model is corrected by the experimental method. Through the pipetting process pressure and pressure of the first derivative of real-time monitoring, the use of segmentation of the double threshold method as pipetting fault evaluation criteria, and the pressure sensor data are processed by Kalman filtering, the accuracy of fault diagnosis is improved. When there is a fault, the pipette tip image is collected through the camera, extract the boundary of the liquid region by the background contrast method, and obtain the liquid volume in the tip according to the geometric characteristics of the pipette tip. The pipette deviation feedback to the automatic pipetting module and deviation correction is carried out. The titration test results show that the combination of the segmented pipetting kinematic model of the double threshold method of pressure monitoring, can effectively real-time judgment and classification of the pipette fault. The method of closed-loop adjustment of pipetting volume can effectively improve the accuracy and reliability of the pipetting system.Zhiwu ShangXiangping ZhouCheng LiSang-Bing TsaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhiwu Shang Xiangping Zhou Cheng Li Sang-Bing Tsai A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer
description	Abstract In order to improve the accuracy and reliability of micropipetting, a method of micro-pipette detection and calibration combining the dynamic pressure monitoring in pipetting process and quantitative identification of pipette volume in image processing was proposed. Firstly, the normalized pressure model for the pipetting process was established with the kinematic model of the pipetting operation, and the pressure model is corrected by the experimental method. Through the pipetting process pressure and pressure of the first derivative of real-time monitoring, the use of segmentation of the double threshold method as pipetting fault evaluation criteria, and the pressure sensor data are processed by Kalman filtering, the accuracy of fault diagnosis is improved. When there is a fault, the pipette tip image is collected through the camera, extract the boundary of the liquid region by the background contrast method, and obtain the liquid volume in the tip according to the geometric characteristics of the pipette tip. The pipette deviation feedback to the automatic pipetting module and deviation correction is carried out. The titration test results show that the combination of the segmented pipetting kinematic model of the double threshold method of pressure monitoring, can effectively real-time judgment and classification of the pipette fault. The method of closed-loop adjustment of pipetting volume can effectively improve the accuracy and reliability of the pipetting system.
format	article
author	Zhiwu Shang Xiangping Zhou Cheng Li Sang-Bing Tsai
author_facet	Zhiwu Shang Xiangping Zhou Cheng Li Sang-Bing Tsai
author_sort	Zhiwu Shang
title	A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer
title_short	A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer
title_full	A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer
title_fullStr	A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer
title_full_unstemmed	A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer
title_sort	study on micropipetting detection technology of automatic enzyme immunoassay analyzer
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/a92bdadaad0448ea83c90662a5c8f36e
work_keys_str_mv	AT zhiwushang astudyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT xiangpingzhou astudyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT chengli astudyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT sangbingtsai astudyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT zhiwushang studyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT xiangpingzhou studyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT chengli studyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer AT sangbingtsai studyonmicropipettingdetectiontechnologyofautomaticenzymeimmunoassayanalyzer
_version_	1718395478132916224

A Study on Micropipetting Detection Technology of Automatic Enzyme Immunoassay Analyzer

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