Presentation 2014-01-24
Multispectral Imaging of Odor Space
Hirotaka YOSHIOKA, Ryohei YOKOYAMA, Chuanjun LIU, Takeshi ONODERA, Seiichi UCHIDA, Koji NAKANO, Kenshi HAYASHI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Although the odor is invisibile, the odor have important informations as a danger signal. The odor information have the kind of odor material, density and spatial distribution, because the odor is vapor. In this study, with fluorescence probe as agarose gel film that mixed the fluorescence material, the odor information is extracted as fluorescence change. In this article, with multi fluorescence probe that mixed a number of fluorescence material, and with multispectral imaging, the discrimination of odor material is performed. This probe have ability that discriminates spatial distribution of odor density contained mixed odor, because the reaction of multi fluorescence probe is able to be divided the reaction of single fluorescence probe for each odor material.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Fluorescence / Odor / Sensor / Imaging
Paper # MBE2013-104
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Conference Information
Committee MBE
Conference Date 2014/1/17(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multispectral Imaging of Odor Space
Sub Title (in English)
Keyword(1) Fluorescence
Keyword(2) Odor
Keyword(3) Sensor
Keyword(4) Imaging
1st Author's Name Hirotaka YOSHIOKA
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering Kyushu University()
2nd Author's Name Ryohei YOKOYAMA
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering Kyushu University
3rd Author's Name Chuanjun LIU
3rd Author's Affiliation Faculty of Information Science and Electrical Engineering Kyushu University
4th Author's Name Takeshi ONODERA
4th Author's Affiliation Faculty of Information Science and Electrical Engineering Kyushu University
5th Author's Name Seiichi UCHIDA
5th Author's Affiliation Faculty of Information Science and Electrical Engineering Kyushu University
6th Author's Name Koji NAKANO
6th Author's Affiliation Graduate School of engineering Kyushu University
7th Author's Name Kenshi HAYASHI
7th Author's Affiliation Faculty of Information Science and Electrical Engineering Kyushu University
Date 2014-01-24
Paper # MBE2013-104
Volume (vol) vol.113
Number (no) 409
Page pp.pp.-
#Pages 4
Date of Issue