An Automated Bacterial Colony Counting System

Zhang, Chengcui; Chen, Wei-Bang; Liu, Wenlin; Chen, Chi-Bang

doi:10.1109/sutc.2008.50

Cited by 32 publications

(23 citation statements)

References 9 publications

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“…7), cell segmentation algorithms can be used to isolate individual cell colonies and perform the counting. In our implementation we use the gold standard method of watershed-based segmentation, given its strength at identifying partially merged colonies [7], [8].…”

Section: B Image Inpaintingmentioning

confidence: 99%

Automated annotation removal in agar plates

Vera¹,

Pérez²,

Lara³

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Agar plates are widely used in the biomedical field as a medium in which to artificially grow bacteria, algae or fungi. Agar plates (Petri dishes) are used routinely in microbiology laboratories in order to identify the type of micro-organism responsible for infections. Such diagnoses are based on counting the number and type of bacterial colonies growing in the Petri dish. The count of bacterial colonies is a time consuming task prone to human error, so interest in automated counting systems has increased in the recent years. One of the difficulties of automatizing the counting process is the presence of markers and annotations made in the lower part of the agar plate. Efficient removal of such markers can increase the accuracy of the bacterial counting system. This article introduces a fast method for detection, segmentation and removal of annotations in agar plates that improves the results of existing bacterial colony counting algorithms.

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Section: B Image Inpaintingmentioning

confidence: 99%

Automated annotation removal in agar plates

Vera¹,

Pérez²,

Lara³

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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“…This problem is solved by using a method which deals with chromatic and achromatic images differently. This is achieved by examining the standard deviation of mean values from each colour channel R, G and B [6].…”

Section: Poonam Sethimentioning

confidence: 99%

A Novel Methodology for Automatic Bacterial Colony Counter

Kaur¹,

Sethi²

2012

IJCA

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Many biological procedures depend on an accurate count of the bacterial colonies and other organisms. In biomedical research and clinical diagnosis, there is a great need to quantify the amount of bacteria in the samples.This paper presents a simple and cost effective methodology for automatically counting the Bacterial Colonies (BC). The proposed methodology for automatic colony counter is based on digital image processing techniques. Proposed methodology is tested with different type of filter images. It is observed that the results obtained with the proposed counter were not significantly different from the manual counting. General TermsDigital image processing, Pattern Recognition KeywordsAdaptive median filter, bacterial colony, bacterium, colony forming unit, microorganisms, morphological image processing.

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“…An automatic colony counting system, which uses image processing technique to feasibly count white bacterial colonies in clear plates according to the RGB color theory is proposed in [4]. It has been proved that the method greatly improves the accuracy and efficient of the colony counting and the counting result is not affected by the shape or size of the colony.…”

Section: Introductionmentioning

confidence: 99%