• DocumentCode
    3467163
  • Title

    An Effective and Robust Method for Automatic Bacterial Colony Enumeration

  • Author

    Zhang, Chengcui ; Chen, Wei-Bang

  • Author_Institution
    Univ. of Alabama at Birmingham (UAB), Birmingham
  • fYear
    2007
  • fDate
    17-19 Sept. 2007
  • Firstpage
    581
  • Lastpage
    588
  • Abstract
    Bacterial colony enumeration has applications in many different assays such as antibiotic screening, toxicology testing, and genotoxicity measuring. The counting of bacterial colony is usually performed by well-trained technicians manually. However, this manual enumeration process has a very low throughput, and is time consuming and labor intensive in practice. To provide consistent and accurate results and improve the throughput, the existing colony counter devices and software were then developed and commercialized in the market. In this study, we propose a fully automatic colony counter and compare its performance with Clono-Counter, an existing automatic colony counter reported by Niyazi et al. Our proposed method can significantly reduce the manual labor by automatically detecting the dish/plate region and extracting and counting colonies. Our experimental results show that the proposed method outperforms Clono-Counter in terms of Precision, Recall, and F-measures.
  • Keywords
    biology computing; microorganisms; toxicology; antibiotic screening; automatic bacterial colony enumeration; automatic colony counter; manual enumeration process; toxicology testing; Antibiotics; Commercialization; Counting circuits; Fluorescence; Laboratories; Microorganisms; Robustness; Shape; Throughput; Toxicology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing, 2007. ICSC 2007. International Conference on
  • Conference_Location
    Irvine, CA
  • Print_ISBN
    978-0-7695-2997-4
  • Type

    conf

  • DOI
    10.1109/ICSC.2007.20
  • Filename
    4338397