| 多通道光纤SPR光谱成像实时监测系统 |
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| 引用本文： | 刘强,袁会真,宋鹏,彭伟.多通道光纤SPR光谱成像实时监测系统[J].光电子．激光,2017,28(8):871-876. |
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| 作者姓名： | 刘强 袁会真 宋鹏 彭伟 |
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| 作者单位： | 大连理工大学 物理与光电工程学院,辽宁 大连 116024,大连理工大学 物理与光电工程学院,辽宁 大连 116024,大连理工大学 物理与光电工程学院,辽宁 大连 116024,大连理工大学 物理与光电工程学院,辽宁 大连 116024 |
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| 基金项目： | 国家自然科学基金(61137005,8)和高等学校博士学科点专项科研基金(20120041110040)资助项目 (大连理工大学 物理与光电工程学院,辽宁 大连 116024) |
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| 摘 要： | 提出一种多通道光纤表面等离子体共振(SPR)光谱 成像实时监测系统,利用iHR550成像光谱仪和Synapse面阵CCD(1024pixels×256pi xels)并行采集多个独立检测通道完整的光谱信息,保持单通道SPR传感器高分辨率优势的 同时实现多通道检测。基于LabVIEW虚拟仪器,开发了控制iHR550成像光谱仪衍射光栅转台 转动,Synapse CCD分区域数据处理和SPR数据处理的实时监测系统。
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| 关 键 词： | 光纤表面等离子体共振(SPR) 多通道光谱成像 生物传感器 实时监测 |
| 收稿时间： | 2016/11/7 0:00:00 |
Real-time monitoring system for multi-channel fiber optic SPR spectral imaging |
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| LIU Qiang,YUAN Hui-zhen,SONG Peng and PENG Wei.Real-time monitoring system for multi-channel fiber optic SPR spectral imaging[J].Journal of Optoelectronics·laser,2017,28(8):871-876. |
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| Authors: | LIU Qiang YUAN Hui-zhen SONG Peng and PENG Wei |
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| Affiliation: | School of Physics and Optoelectronic Technology,Dalian University of Technolo gy,Dalian 116024,China,School of Physics and Optoelectronic Technology,Dalian University of Technolo gy,Dalian 116024,China,School of Physics and Optoelectronic Technology,Dalian University of Technolo gy,Dalian 116024,China and School of Physics and Optoelectronic Technology,Dalian University of Technolo gy,Dalian 116024,China |
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| Abstract: | In this paper,we propose a real-time monitoring system for multi-channel fiber optic surface plasmon resonance (SPR) spectral imaging.With the use of i HR 550spectrometer equipped with Synapse CCD (area array charge-coupled device,1024×256pixels),we can get the spectral data of multiple independent channels while keeping the advantage of a mono-channel SPR sensor based on the full resonance curve measurement.A real-time monitoring system for the control of iHR550spectrometer,Synapse CCD data processing and SPR data processi ng is developed based on LabVIEW. |
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| Keywords: | fiber surface plasmon resonance (SPR) multi-channel spectral imaging biosenso r real-time monitoring |
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