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

Tsuyoshi Tanaka, Atsushi Kogiso, Yoshiaki Maeda, Tadashi Matsunaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728103976
DOIs
Publication statusPublished - 2019 Jan 1
Externally publishedYes
Event2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
Duration: 2019 May 262019 May 29

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2019-May
ISSN (Print)0271-4310

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
CountryJapan
CitySapporo
Period19/5/2619/5/29

Keywords

  • Bioimage informatics
  • Colony fingerprinting
  • Food-contaminating microorganisms
  • Lens-less imaging
  • Machine learning

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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