Open AccessDetection of Escherichia Coli Bacteria by Using Image Processing Techniques
Author(s) -
Fatih Karatepe,
Busra Tas,
Özlem Coşkun,
Mesud Kahriman
Publication year - 2022
Publication title -
international journal of biology and biomedical engineering
Language(s) - English
Resource type - Journals
ISSN - 1998-4510
DOI - 10.46300/91011.2022.16.31
Subject(s) - petri dish , escherichia coli , bacteria , agar , image processing , microbiology and biotechnology , bacterial colony , biology , artificial intelligence , computer science , image (mathematics) , biochemistry , genetics , gene
Recently, image processing has proven itself as a fast and reliable technique in research in medicine and biology. Bacterial colony separation is an important and time-consuming process in studies in the field of microbiology. Bacteria counting is usually carried out by the naked eye or even by Coulter counter machines, which are based on the rather expensive electric field measurement method. In this study, image-based enumeration of Escherichia Coli over the colony morphology in the petri dish was investigated. In the experimental study, 4 different bacteria from the Enterobacteriaceae family were planted on petri dishes containing Eosin-methylene blue agar (Merck, Darmstadt, Germany). Escherichia Coli colony characteristics were determined by digitizing planted bacterial petri images. For the study, counting was done with the interface developed in MATLAB R2013a. After the classification criteria were determined, the method was tested on new petri dishes and successful results were obtained.