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Reseach Article

A Novel Methodology for Automatic Bacterial Colony Counter

by Gurpreet Kaur, Poonam Sethi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 15
Year of Publication: 2012
Authors: Gurpreet Kaur, Poonam Sethi
10.5120/7704-1061

Gurpreet Kaur, Poonam Sethi . A Novel Methodology for Automatic Bacterial Colony Counter. International Journal of Computer Applications. 49, 15 ( July 2012), 21-26. DOI=10.5120/7704-1061

@article{ 10.5120/7704-1061,
author = { Gurpreet Kaur, Poonam Sethi },
title = { A Novel Methodology for Automatic Bacterial Colony Counter },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 15 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number15/7704-1061/ },
doi = { 10.5120/7704-1061 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:20.869812+05:30
%A Gurpreet Kaur
%A Poonam Sethi
%T A Novel Methodology for Automatic Bacterial Colony Counter
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 15
%P 21-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. Matthew L. Clarke, Robert L. Burton, A. Nayo Hill, Maritoni Litorja, Moon H. Nahm, Jeeseong Hwang, "Low-Cost, High-Throughput, Automated Counting of Bacterial Colonies," Journal of the International Society for Advancement of Cytometery, Part A, No. 77, pp. 790-797, 2010.
  2. Kyung Hyo Kim, Jigui Yu, and Moon H. Nahm, "Efficiency of a Pneumococcal Opsonophagocytic Killing Assay Improved by Multiplexing and by Coloring Colonies," Clinical and Diagnostic Laboratory Immunology, Vol. 10, No. 4, pp. 616–621, July 2003.
  3. Michael Putman, Robert Burton, Moon H. Nahm, "Simplified Method to Automatically Count Bacterial Colony Forming Unit," Journal of Immunological Methods- 302, pp. 99– 102, 2005.
  4. Maximilian Niyazi, Ismat Niyazi and Claus Belka, "Counting Colonies of Clonogenic Assays by using Densitometric Software," Journal of Radiation Oncology, 2007. http://www. rojournal. com/content/2/1/4
  5. Chengcui Zhang and Wei-Bang Chen, "An Effective and Robust Method for Automatic Bacterial Colony Enumeration," International Conference on Semantic Computing, IEEE Computer Society, pp. 581-586, 2007.
  6. Chengcui Zhang, Wei-Bang Chen, Wen-Lin Liu, and Chi-Bang Chen, "An Automated Bacterial Colony Counting System", IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp. 233-240, 2008.
  7. Wei-Bang Chen and Chengcui Zhang, "Bacteria Colony Enumeration and Classification for Clonogenic Assay," Tenth IEEE International Symposium on Multimedia, pp. 487-488, 2008.
  8. Hong Men, Yujie Wu, Xiaoying Li, Zhen Kou, Shanrang Yang, "Counting Method of Heterotrophic Bacteria Based on Image Processing," IEEE CIS, pp. 1238-1241, 2008.
  9. Igor Buzalewicz, Katarzyna W. Krol, and Halina Podbielska, "Image processing guided analysis for estimation of bacteria colonies number by means of optical transforms," Optics Express, Vol. 18, No. 12, pp. 12992-13005, 7 June 2010.
  10. Shen Wei-Zheng, Wu Ya-Chun, Zhao Lie, Zheng Hui, "Experimental Study for Automatic Colony Counting System Based on Image Processing," International Conference on Computer Application and System Modeling, Vol. 6, pp. 612-615, ICCASM 2010.
  11. Jostein Dahle, Manish Kakar, Harald B. Steen, and Olav Kaalhus, "Automated Counting of Mammalian Cell Colonies by Means of a Flat Bed Scanner and Image Processing," Cytometry Part A, 60A:182–188, 2004.
  12. Index of /themicrobialworld, available at http://textbookofbacteriology. net/themicrobialworld/
  13. Bacteria - Wikipedia, the free encyclopedia: http://en. wikipedia. org/wiki/Bacterium
  14. Microbiology Techniques - Techniques of Microbes of Microbiology, available at http://microbes. org/microbiology-techniques
  15. M. O. Al-Dwairi, Z. A. Alqadi, A. A. AbuJazar and R. Abu Zneit, "Optimized True-Color Image Processing," World Applied Sciences Journal, 8 (10): 1175-1182, 2010.
  16. Debasish Biswas, A. Nag, S. Ghosh, Arindrajit Pal, S. Biswas, S. Banerjee, Anjan Pal "Novel Gray Scale Conversion Techniques Based On Pixel Depth," Journal of Global Research in Computer Science, Vol. 2, No. 6, pp. 118-121, June 2011.
  17. Manohar Annappa Koli, "Review of Impulse Noise Reduction Techniques," International Journal on Computer Science and Engineering, Vol. 4, No. 2, pp. 184-196, 2012.
  18. Mr. Salem Saleh Al-amri, Dr. N. V. Kalyankar and Dr. Khamitkar S. D, "A Comparative Study of Removal Noise from Remote Sensing Image," International Journal of Computer Science Issues, Vol. 7, No. 1, pp. 32-36, January 2010.
  19. Tarun Kumar, Karun Verma, "A Theory Based on Conversion of RGB image to Gray image," International Journal of Computer Applications (0975 – 8887), Vol. 7, No. 2, pp. 7-10,Sep. 2010.
  20. N. Nacereddine, L. Hamami, M. Tridi, and N. Oucief, "Non-Parametric Histogram-Based Thresholding Methods for Weld Defect Detection in Radiography," World Academy of Science, Engineering and Technology 9, pp. 213-217, 2005.
  21. P. K. Sahoo, S. Soltani, A. K. C. Wong, Y. C. Chbn, "A Survey of Thresholding Techniques," Computer Vision, Graphics, And Image Processing, Vol. 41, pp. 233-260, 1988.
  22. Aishy Amer, "New Binary Morphological Operations for Effective Low-Cost Boundary Detection," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, No. 2, pp. 1-13, 2002.
  23. R. C. Gonzales, R. E. Woods, Digital Image Processing, 2-nd Edition, Prentice Hall, 2002.
  24. Cho-Huak Teh, Roland T. Chin, "On the Detection of Dominant Points on Digital Curves," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 2, No. 8, pp. 859-872, August 1989.
  25. Te-Hsiu Sun, "K-Cosine Corner Detection," Journal of Computers, Vol. 3, No. 7, pp. 16-22, July 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive median filter bacterial colony bacterium colony forming unit microorganisms morphological image processing