@inproceedings{8bcb4efaf85e48da8f0fff2ddc99e28a,
title = "Development of digital lock-in image detection system and its application to odor discrimination using cell-based sensor array",
abstract = "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.",
keywords = "Digital lock-in detection, Image processing, Odor sensor, Olfactory receptor, Principal component analysis",
author = "Yuji Sukekawa and Totok Mujiono and Takamichi Nakamoto",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, ISOEN 2017 ; Conference date: 28-05-2017 Through 31-05-2017",
year = "2017",
month = jul,
day = "5",
doi = "10.1109/ISOEN.2017.7968855",
language = "English",
series = "ISOEN 2017 - ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISOEN 2017 - ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Proceedings",
address = "United States",
}