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primary topic: An experimental setup and segmentation method for CFU counting on agar plate for the assessment of drinking water

An experimental setup and segmentation method for CFU counting on agar plate for the assessment of drinking water
type: AcademicArticle
type: Article
abstract: Quantification of bacterial colonies on an agar plate is a daily routine for a microbiologist to determine the number of viable microorganisms in the sample. In general, microbiologists perform a visual assessment of bacterial colonies which is time-consuming (takes 2 min per plate), tedious, and subjective. Some automatic counting algorithms are developed that save labour and time, but their results are affected by the non-illumination on an agar plate. To improve this, the present manuscript aims to develop an inexpensive and efficient device to acquire S.aureus images via an automatic counting method using image processing techniques under real laboratory conditions. The proposed method (P_ColonyCount) includes the region of interest extraction and color space transformation followed by filtering, thresholding, morphological operation, distance transform, and watershed technique for the quantification of isolated and overlapping colonies. The present work also shows a comparative study on grayscale, K, and green channels by applying different filter and thresholding techniques on 42 images. The results of all channels were compared with the score provided by the expert (manual count). Out of all the proposed method (P_ColonyCount), the K channel gives the best outcome in comparison with the other two channels (grayscale and green) in terms of precision, recall, and F-measure which are 0.99, 0.99, and 0.99 (2 h), 0.98, 0.99, and 0.98 (4 h), and 0.98, 0.98, 0.98 (6 h) respectively. The execution time of the manual and the proposed method (P_ColonyCount) for 42 images ranges from 19 to 113 s and 15 to 31 s respectively. Apart from this, a user-friendly graphical user interface is also developed for the convenient enumeration of colonies without any expert knowledge/training. The developed imaging device will be useful for researchers and teaching lab settings.
date: 2023-11
volume: 214
issue: 106829
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Elsevier BV
type: Organization

J. Microbiol. Methods
type: Collection

Neelam Kumari
type: Person
given name: Neelam
family name: Kumari

Srinivasan Krishnamurthi
type: Person
given name: Srinivasan
family name: Krishnamurthi

Suman Tewary
type: Person
given name: Suman
family name: Tewary

Prachi Arora
type: Person
given name: Prachi
family name: Arora

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primary topic: An experimental setup and segmentation method for CFU counting on agar plate for the assessment of drinking water