Image analysis of plasmonic sensor for high-throughput biomarker detection

In this project, we develop an image analysis algorithm to work with a surface plasmon resonance (SPR) biosensor for multiple bio-molecular interactions detection. The SPR biosensor measures the color change produced by surface plasmon excitation in the spectral domain. When bio-molecular interacti...

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Main Author: Li, Xiaochao.
Other Authors: Shum Ping
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/54466
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-544662023-07-07T16:39:41Z Image analysis of plasmonic sensor for high-throughput biomarker detection Li, Xiaochao. Shum Ping School of Electrical and Electronic Engineering A*STAR Singapore Bioimaging Consortium DRNTU::Engineering In this project, we develop an image analysis algorithm to work with a surface plasmon resonance (SPR) biosensor for multiple bio-molecular interactions detection. The SPR biosensor measures the color change produced by surface plasmon excitation in the spectral domain. When bio-molecular interaction occurs at the sensor surface (such as antibody-antigen interaction), the refractive index value is varied and corresponding spectral shift will be produced in the spectrum. In the experimental works, we demonstrated the performance of the system with the detection of different refractive index samples ranged from 1.3333 RIU to 1.3470 RIU. The system sensitivity is found to be 1.84 x 10-5 RIU. This value is nearly 3 times better than the resolution provided by existing spectral based SPR imaging sensor. The system was further applied for antigen-antibody bio-molecular interactions detection. The bio-molecular interaction between different concentrations of BSA antigen (10 mg/ml, 5mg/ml, 2.5 mg/ml and 1.25 mg/ml) and BSA antibody molecules have been measured. The results of this project prove the capability of the SPR biosensor applied for bio-sensing application (antibody-antigen interaction). In future work, the SPR biosensor can find potential applications in biomedical research for the detection of different bio-molecular interactions in the laboratory. Bachelor of Engineering 2013-06-20T08:34:17Z 2013-06-20T08:34:17Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54466 en Nanyang Technological University 52 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Li, Xiaochao.
Image analysis of plasmonic sensor for high-throughput biomarker detection
description In this project, we develop an image analysis algorithm to work with a surface plasmon resonance (SPR) biosensor for multiple bio-molecular interactions detection. The SPR biosensor measures the color change produced by surface plasmon excitation in the spectral domain. When bio-molecular interaction occurs at the sensor surface (such as antibody-antigen interaction), the refractive index value is varied and corresponding spectral shift will be produced in the spectrum. In the experimental works, we demonstrated the performance of the system with the detection of different refractive index samples ranged from 1.3333 RIU to 1.3470 RIU. The system sensitivity is found to be 1.84 x 10-5 RIU. This value is nearly 3 times better than the resolution provided by existing spectral based SPR imaging sensor. The system was further applied for antigen-antibody bio-molecular interactions detection. The bio-molecular interaction between different concentrations of BSA antigen (10 mg/ml, 5mg/ml, 2.5 mg/ml and 1.25 mg/ml) and BSA antibody molecules have been measured. The results of this project prove the capability of the SPR biosensor applied for bio-sensing application (antibody-antigen interaction). In future work, the SPR biosensor can find potential applications in biomedical research for the detection of different bio-molecular interactions in the laboratory.
author2 Shum Ping
author_facet Shum Ping
Li, Xiaochao.
format Final Year Project
author Li, Xiaochao.
author_sort Li, Xiaochao.
title Image analysis of plasmonic sensor for high-throughput biomarker detection
title_short Image analysis of plasmonic sensor for high-throughput biomarker detection
title_full Image analysis of plasmonic sensor for high-throughput biomarker detection
title_fullStr Image analysis of plasmonic sensor for high-throughput biomarker detection
title_full_unstemmed Image analysis of plasmonic sensor for high-throughput biomarker detection
title_sort image analysis of plasmonic sensor for high-throughput biomarker detection
publishDate 2013
url http://hdl.handle.net/10356/54466
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