scholarly journals EMPLOYABILITY OF ADVANCED IMAGE PROCESSING TO EFFECTIVELY COUNT AND CLASSIFY THE BACTERIAL COLONIES

2021 ◽  
Vol 12 (01) ◽  
Author(s):  
Bhavay Bajaj
Keyword(s):  
Image Processing ◽  
Clinical Analysis ◽  
Drug Industry ◽  
Double Vision ◽  
Bacterial Colony ◽  
Otsu Thresholding ◽  
Colony Counter ◽  
Superior Level

Specification of Bacterial Colonies is needed in many fields, such as clinical analysis, biomedical examination for anticipation of severe illnesses, and the drug industry to avoid tainting items. Existing Bacterial Colony counter frameworks count Bacterial Colony physically, which is a tedious, less effective and dreary cycle. Henceforth, mechanization for calculating bacterial settlement was required. The proposed strategy counts these settlements naturally utilizing picture handling strategies. This strategy will give a more superior level of precision in the counting of bacterial provinces. The proposed method takes a picture of bacterial settlement and converts it into grayscale. Otsu thresholding is applied for the division of the image, further its change into a double shot. From that point onward, morphological activities are used to tidy up the picture by eliminating commotion and superfluous pixels. Distance and watershed changes are applied to double vision to make parts among covered and joint microscopic organisms. Locale properties and marking data of fragmented picture is utilized for counting of the bacterial province.

scholarly journals A commercial bacterial colony counter for semiautomatic track counting

1984 ◽  
Vol 8 (1-4) ◽  
pp. 215-218 ◽  
Author(s):  
R.V. Griffith ◽  
T.A. McMahon ◽  
G. Espinosa
Keyword(s):  
Bacterial Colony ◽  
Track Counting ◽  
Colony Counter

Research on Low Quality Texture Image Segmentation Background

2014 ◽  
Vol 687-691 ◽  
pp. 3616-3619
Author(s):  
Ning Liu ◽  
Hong Xia Wang
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Experimental Results ◽  
Texture Image ◽  
Segmentation Method ◽  
Otsu Thresholding ◽  
Complex Background ◽  
Segmentation Methods ◽  
Texture Image Segmentation

In image processing, the texture image segmentation is one of the most important issues. Considering the problem that the traditional segmentation methods often fail to the low quality texture image segmentation, this paper proposes a modified OTSU thresholding segmentation method. Experimental results show that the proposed method not only is well adapt to the change of brightness and contrast, but also can be applied to much complex background.

Automated Bacterial Colony Counting for Clonogenic Assay

2011 ◽  
pp. 134-145
Author(s):  
Wei-Bang Chen ◽  
Chengcui Zhang
Keyword(s):  
Digital Images ◽  
Clonogenic Assay ◽  
Cost Effective ◽  
Point Of View ◽  
Bacterial Colony ◽  
Essential Tool ◽  
Colony Counting ◽  
Fully Automatic ◽  
Colony Counter

Bacterial colony enumeration is an essential tool for many widely used biomedical assays. This chapter introduces a cost-effective and fully automatic bacterial colony counter which accepts digital images as its input. The proposed counter can handle variously shaped dishes/plates, recognize chromatic and achromatic images, and process both color and clear medium. In particular, the counter can detect dish/plate regions, identify colonies, separate aggregated colonies, and finally report consistent and accurate counting result. The authors hope that understanding the complicated and labor-intensive nature of colony counting will assist researchers in a better understanding of the problems posed and the need to automate this process from a software point of view, without relying too much on specific hardware.

New Design for an Automated Bacterial Colony Counter

1968 ◽  
Vol 39 (1) ◽  
pp. 115-120 ◽  
Author(s):  
Neil B. Ingels ◽  
George T. Daughters ◽  
Agostino Burzio
Keyword(s):  
Bacterial Colony ◽  
Colony Counter

scholarly journals Contaminant bacteria in traditional-packed honey

2007 ◽  
Vol 19 (1) ◽  
Author(s):  
Hening Tjaturina Pramesti ◽  
Karlina Hardjawinata ◽  
Putra Qadri Fath
Keyword(s):  
Staphylococcus Epidermidis ◽  
Honey Sample ◽  
Coagulase Negative Staphylococci ◽  
Gram Positive ◽  
Bacterial Colony ◽  
Colony Forming Units ◽  
Morphology Characteristics ◽  
Gram Positive Cocci ◽  
Opportunist Pathogen ◽  
Colony Counter

Honey may be contaminated by microorganisms during its harvesting, processing, and packaging. Honey selected for clinical purposes must safe, sterile, and contain antimicrobial activity, so it must be evaluated using laboratory testing. The aim of this descriptive laboratory study was to isolate and identify the bacterial contaminant in the traditional-packed honey dealing with the use of honey for medical purposes. the colony forming units of honey sample cultured on blood agar were counted using Stuart bacterial colony counter. The suspected bacterial colonies were isolated and identified based on cultural morphology characteristics. The isolates of suspected bacterial colonies were stained according to Gram and Klein method and then were examined by the biochemical reaction. The results showed that there were two contaminant bacteria. Gram-positive cocci which were presumptively identified as coagulase-negative Staphylococci and gram-positive rods which were presumptively identified as Bacillus subtilis. In conclusion, the contaminant bacteria were regarded as low pathogen bacteria. The subtilin enzyme of B subtilis may cause an allergic reaction and coagulase-negative Staphylococci, Staphylococcus epidermidis is also an opportunist pathogen. Inevitably, for medical purposes, traditional-packed honey must be well filtered, water content above 18%, and standardized sterilization without loss of an antibacterial activity or change in properties.

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