Abstract
An increased area of focus in Microbiology is the automation of counting methods. These obstacles include: How to handle confluent growth or growth of colonies that touch or overlap other colonies, How to identify each colony as a unit in spite of differing shapes, sizes, textures, colors, light intensities, etc. Counting of bacterial colonies is complex task for microbiologist. Further in an Industry thousands of such samples are formed per day and colonies on each sample are counted manually, then this becomes a time consuming hectic and error prone job. We proposed a method to count these colonies to save time with accurate results and fast delivery to customers. This proposed research work will count the colonies after 6 to 8 hours priori, saving a lot more time and this work will more efficient because market range for this is about 10,000 only as compare to prior systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shen, W.-Z., Wu, Y.-C., Zhao, L., Zheng, H.: Experimental Study for Automatic Colony Counting System Based on Image Processing. In: 2010 International Conference on Computer Application and System Modeling, ICCASM 2010 (2010)
Buzalewicz, I., Wysocka-Król, K., Podbielska, H.: Image processing guided analysis for estimation of bacteria colonies number by means of optical transforms (received April 2, 2010; revised May 8, 2010; accepted May 11, 2010; published June 2, 2010, June 7, 2010)
Chen, W.-B., Zhang, C.: An automated bacterial colony counting and classification system, LLC (2009) (published online: February 18, 2009)
Men, H., Wu, Y., Li, X., Kou, Z., Yang, S.: Counting Method of Heterotrophic Bacteria Based on Image Processing. IEEE (2008)
Zhang, C., Chen, W.-B., Liu, W.-L., Chen, C.-B.: An Automated Bacterial Colony Counting System. IEEE (2008)
Chen, W.-B., Zhang, C.: Bacteria Colony Enumeration and Classification for Clonogenic Assay. In: Tenth IEEE International Symposium on Multimedia. IEEE (2008)
Trattner, S., Greenspan, H. Member, IEEE, Tepper, G., Abboud, S.: Automatic Identification of Bacterial Types Using Statistical Imaging Methods. IEEE (2004)
Zhang, C., Chen, W.-B.: An Effective and Robust Method for Automatic Bacterial Colony Enumeration. In: IEEE International Conference on Semantic Computing (2007)
Mosaliganti, K., Chen, J., Janoos, F., Machiraju, R., Xia, W., Xu, X., Huang, K.: Automated Quantification of Colony Growth in Clonogenic Assays
Barber, P.R., Vojnovic, B., Kelly, J., Mayes, C.R., Boulton, P., Woodcock, M., Joiner, M.C.: An Automated Colony Counter Utilising A Compact Hough Transform
Terada, K., Yoshida, D., Oe, S., Yamaguchi, J.: A Method of Counting the Passing Peopleby Using the Stereo Images. IEEE (1999)
Mahapatra, A.K., Harris, D., Nguyen, C.N., Kannan, G.: Evaluation of an IUL Flash & Go Automated Colony Counter. Agricultural Engineering International: the CIGR Ejournal. Manuscript 1368 XI (October 2009)
Dahle, J., Kakar, M., Steen, H.B., Kaalhus, O.: Automated Counting of Mammalian Cell Colonies by Means of a Flat Bed Scanner and Image Processing
Putman, M., Burton, R., Nahm, M.H.: Simplified method to automatically count bacterial colony forming unit (June 2005)
Schier, J., Kov́ǎ, B.: Automated Counting of Yeast Colonies Usingthe Fast Radial Transform Algorithm
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Gupta, S., Kamboj, P., Kaushik, S. (2012). Methodology for Automatic Bacterial Colony Counter. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_56
Download citation
DOI: https://doi.org/10.1007/978-3-642-30157-5_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30156-8
Online ISBN: 978-3-642-30157-5
eBook Packages: EngineeringEngineering (R0)