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  • 标题:Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis
  • 本地全文:下载
  • 作者:Zhiyou Wang ; Xiaoqing Huang ; Zhiqiang Cheng
  • 期刊名称:Biosensors
  • 电子版ISSN:2079-6374
  • 出版年度:2018
  • 卷号:8
  • 期号:3
  • 页码:85-96
  • DOI:10.3390/bios8030085
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:surface plasmon resonance imaging; protein microarray; image enhancement; adaptive threshold binarization surface plasmon resonance imaging ; protein microarray ; image enhancement ; adaptive threshold binarization
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