.png){kind=icon}
返回
Odor Discrimination Using Cell-Based Odor Biosensor System With Fluorescent Image Processing
.png){kind=icon}
OA
AI
DOI：10.1109/JSEN.2019.2916377.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Various types of odor sensor systems have been developed for the discrimination and quantification of odorants. Although the use of biological components may improve sensitivity, a few studies have reported on the use of an array of biological elements for odor discrimination. In this paper, odorants were discriminated using an odor biosensor system with cells expressing different types of olfactory receptors. A cell's response to an odorant was acquired as a fluorescent image followed by an image processing technique based on circle Hough transform. The principal component analysis and linear discriminant analysis demonstrated the ability to discriminate between two odorants at different concentrations. The result suggests that the combination of a biosensor and image processing technique has the potential to discriminate between different odorants even if the cells are placed at random.
Keyword:
Circle Hough transform
image processing
odor biosensor system
odor discrimination
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
2.1W
被引数:
7.3W
机构
引用论文
分享收藏Fundamental study of odor recorder for multicomponent odor using recipe exploration method based on singular value decomposition.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏分享收藏
查看更多内容