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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Veröffentlicht in:Biosensors (Basel) 2018-09, Vol.8 (3), p.85
Hauptverfasser: Wang, Zhiyou, Huang, Xiaoqing, Cheng, Zhiqiang
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:2079-6374
2079-6374
DOI:10.3390/bios8030085