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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6163621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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