Automated counting of bacterial colonies by image analysis

Pei Ju Chiang, Min Jen Tseng, Zong Sian He, Chia Hsun Li

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Research on microorganisms often involves culturing as a means to determine the survival and proliferation of bacteria. The number of colonies in a culture is counted to calculate the concentration of bacteria in the original broth; however, manual counting can be time-consuming and imprecise. To save time and prevent inconsistencies, this study proposes a fully automated counting system using image processing methods. To accurately estimate the number of viable bacteria in a known volume of suspension, colonies distributing over the whole surface area of a plate, including the central and rim areas of a Petri dish are taken into account. The performance of the proposed system is compared with verified manual counts, as well as with two freely available counting software programs. Comparisons show that the proposed system is an effective method with excellent accuracy with mean value of absolute percentage error of 3.37%. A user-friendly graphical user interface is also developed and freely available for download, providing researchers in biomedicine with a more convenient instrument for the enumeration of bacterial colonies.

Original languageEnglish
Pages (from-to)74-82
Number of pages9
JournalJournal of Microbiological Methods
Volume108
DOIs
Publication statusPublished - 2015 Jan 1

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Molecular Biology
  • Microbiology (medical)

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