Development of digital lock-in image detection system and its application to odor discrimination using cell-based sensor array

Yuji Sukekawa, Totok Mujiono, Takamichi Nakamoto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationISOEN 2017 - ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023912
DOIs
Publication statusPublished - 5 Jul 2017
Externally publishedYes
Event2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, ISOEN 2017 - Montreal, Canada
Duration: 28 May 201731 May 2017

Publication series

NameISOEN 2017 - ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Proceedings

Conference

Conference2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, ISOEN 2017
Country/TerritoryCanada
CityMontreal
Period28/05/1731/05/17

Keywords

  • Digital lock-in detection
  • Image processing
  • Odor sensor
  • Olfactory receptor
  • Principal component analysis

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