Colony fingerprinting - A novel method for discrimination of food-contaminating microorganisms based on bioimage informatics

Tsuyoshi Tanaka, Atsushi Kogiso, Yoshiaki Maeda, Tadashi Matsunaga

研究成果: Conference contribution

抄録

Discrimination of food-contaminating microorganisms is an essential technology to secure the safety in manufacturing of foods and beverages. Conventionally, discrimination of the microorganisms has been performed by morphological observation, genetic analysis, and more recently, biochemical fingerprinting using mass spectrometry. However, several drawbacks exist in these methods, such as long assay time, cumbersome operations, and expensive equipment. To address these issues, we have proposed a novel method for discrimination of food-contaminating microorganisms, termed “colony fingerprinting”, based on bioimage informatics. In colony fingerprinting, growth of bacterial colonies were monitored using a lens-less imaging system. The characteristic images of colonies, referred to as colony fingerprints (CFPs), were obtained over time, and subsequently used to extract discriminative parameters. We demonstrated to discriminate 20 bacterial species by analyzing the extracted parameters with machine learning approaches, namely support vector machine and random forest. Colony fingerprinting is a promising method for rapid and easy discrimination of food-contaminating microorganisms.

元の言語English
ホスト出版物のタイトル2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728103976
DOI
出版物ステータスPublished - 2019 1 1
外部発表Yes
イベント2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
継続期間: 2019 5 262019 5 29

出版物シリーズ

名前Proceedings - IEEE International Symposium on Circuits and Systems
2019-May
ISSN(印刷物)0271-4310

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
Japan
Sapporo
期間19/5/2619/5/29

Fingerprint

Microorganisms
Beverages
Imaging systems
Mass spectrometry
Support vector machines
Learning systems
Lenses
Assays

Keywords

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    これを引用

    Tanaka, T., Kogiso, A., Maeda, Y., & Matsunaga, T. (2019). Colony fingerprinting - A novel method for discrimination of food-contaminating microorganisms based on bioimage informatics. : 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings [8702644] (Proceedings - IEEE International Symposium on Circuits and Systems; 巻数 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2019.8702644

    Colony fingerprinting - A novel method for discrimination of food-contaminating microorganisms based on bioimage informatics. / Tanaka, Tsuyoshi; Kogiso, Atsushi; Maeda, Yoshiaki; Matsunaga, Tadashi.

    2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8702644 (Proceedings - IEEE International Symposium on Circuits and Systems; 巻 2019-May).

    研究成果: Conference contribution

    Tanaka, T, Kogiso, A, Maeda, Y & Matsunaga, T 2019, Colony fingerprinting - A novel method for discrimination of food-contaminating microorganisms based on bioimage informatics. : 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings., 8702644, Proceedings - IEEE International Symposium on Circuits and Systems, 巻. 2019-May, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, 19/5/26. https://doi.org/10.1109/ISCAS.2019.8702644
    Tanaka T, Kogiso A, Maeda Y, Matsunaga T. Colony fingerprinting - A novel method for discrimination of food-contaminating microorganisms based on bioimage informatics. : 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8702644. (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2019.8702644
    Tanaka, Tsuyoshi ; Kogiso, Atsushi ; Maeda, Yoshiaki ; Matsunaga, Tadashi. / Colony fingerprinting - A novel method for discrimination of food-contaminating microorganisms based on bioimage informatics. 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - IEEE International Symposium on Circuits and Systems).
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    abstract = "Discrimination of food-contaminating microorganisms is an essential technology to secure the safety in manufacturing of foods and beverages. Conventionally, discrimination of the microorganisms has been performed by morphological observation, genetic analysis, and more recently, biochemical fingerprinting using mass spectrometry. However, several drawbacks exist in these methods, such as long assay time, cumbersome operations, and expensive equipment. To address these issues, we have proposed a novel method for discrimination of food-contaminating microorganisms, termed “colony fingerprinting”, based on bioimage informatics. In colony fingerprinting, growth of bacterial colonies were monitored using a lens-less imaging system. The characteristic images of colonies, referred to as colony fingerprints (CFPs), were obtained over time, and subsequently used to extract discriminative parameters. We demonstrated to discriminate 20 bacterial species by analyzing the extracted parameters with machine learning approaches, namely support vector machine and random forest. Colony fingerprinting is a promising method for rapid and easy discrimination of food-contaminating microorganisms.",
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