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Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis

An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can identify the spots in SPRi images of the microarray...

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Detalles Bibliográficos
Autores principales: Wang, Zhiyou, Huang, Xiaoqing, Cheng, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163621/
https://www.ncbi.nlm.nih.gov/pubmed/30217054
http://dx.doi.org/10.3390/bios8030085
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author Wang, Zhiyou
Huang, Xiaoqing
Cheng, Zhiqiang
author_facet Wang, Zhiyou
Huang, Xiaoqing
Cheng, Zhiqiang
author_sort Wang, Zhiyou
collection PubMed
description An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can identify the spots in SPRi images of the microarray from SPRi video data. In demonstrations of the method, SPRi video data of different protein microarrays were processed by the method. Results show that our method can locate spots in the microarray accurately regardless of the microarray pattern, spot-background contrast, light nonuniformity and spotting defects, but also can provide address information of the spots.
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spelling pubmed-61636212018-10-10 Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis Wang, Zhiyou Huang, Xiaoqing Cheng, Zhiqiang Biosensors (Basel) Article An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can identify the spots in SPRi images of the microarray from SPRi video data. In demonstrations of the method, SPRi video data of different protein microarrays were processed by the method. Results show that our method can locate spots in the microarray accurately regardless of the microarray pattern, spot-background contrast, light nonuniformity and spotting defects, but also can provide address information of the spots. MDPI 2018-09-13 /pmc/articles/PMC6163621/ /pubmed/30217054 http://dx.doi.org/10.3390/bios8030085 Text en © 2018 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
Wang, Zhiyou
Huang, Xiaoqing
Cheng, Zhiqiang
Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
title Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
title_full Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
title_fullStr Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
title_full_unstemmed Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
title_short Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
title_sort automatic spot identification method for high throughput surface plasmon resonance imaging analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163621/
https://www.ncbi.nlm.nih.gov/pubmed/30217054
http://dx.doi.org/10.3390/bios8030085
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