DEVELOPMENT OF DIGITAL LOCK-IN IMAGE DETECTION SYSTEM AND ITS APPLICATION TO ODOR DISCRIMINATION USING CELL-BASED SENSOR ARRAY

被引：0

作者：

Sukekawa, Yuji ^{[1
]}

Mujiono, Totok ^{[1
]}

Nakamoto, Takamichi ^{[1
]}

机构：

[1] Tokyo Inst Technol, Tokyo, Japan

来源：

2017 ICOCS/IEEE INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE (ISOEN 2017) | 2017年

关键词：

Odor sensor; digital lock-in detection; principal component analysis; olfactory receptor; image processing;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Cell-based sensor expressing odorant receptor with fluorescent imaging has a potential for realization of high performance odor sensing system. In this study, we developed digital lock-in detection system for 2-dimensional data such as an image. Since the system has many digital lock-in amplifiers on field programmable gate array and process the image stream from a commercially available image sensor, it has a capability of robust measurement against ambient light. In order to test the system, the fluorescent image of the sensor array including two kinds of olfactory receptor was analyzed by using principal component analysis. The result suggests that the system can discriminate between different odors.

引用

页数：3

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