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2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
An Automated Bacterial Colony Counting System
June 11-June 13
ISBN: 978-0-7695-3158-8
| ASCII Text | x | ||
| Chengcui Zhang, Wei-Bang Chen, Wen-Lin Liu, Chi-Bang Chen, "An Automated Bacterial Colony Counting System," Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on, pp. 233-240, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008), 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/SUTC.2008.50, author = {Chengcui Zhang and Wei-Bang Chen and Wen-Lin Liu and Chi-Bang Chen}, title = {An Automated Bacterial Colony Counting System}, journal ={Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3158-8}, pages = {233-240}, doi = {http://doi.ieeecomputersociety.org/10.1109/SUTC.2008.50}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on TI - An Automated Bacterial Colony Counting System SN - 978-0-7695-3158-8 SP233 EP240 A1 - Chengcui Zhang, A1 - Wei-Bang Chen, A1 - Wen-Lin Liu, A1 - Chi-Bang Chen, PY - 2008 KW - Biomedical image mining KW - colony counting VL - 0 JA - Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SUTC.2008.50
Bacterial colony enumeration is an essential tool for many widely used biomedical assays. However, bacterial colony enumerating is a low throughput, time consuming and labor intensive process since there might exist hundreds or thousands of colonies on a Petri dish, and the counting process is often manually performed by well-trained technicians. In this paper, we introduce a fully automatic yet cost-effective bacterial colony counter. Our proposed method can recognize chromatic and achromatic images and thus can deal with both color and clear medium. In addition, our proposed method can also accept general digital camera images as its input. The whole process includes detecting dish/plate regions, identifying colonies, separating aggregated colonies, and finally reporting consistent and accurate counting results. Our proposed counter has a promising performance in terms of both precision and recall, and is flexible and efficient in terms of labor- and time-savings.
Index Terms:
Biomedical image mining, colony counting
Citation:
Chengcui Zhang, Wei-Bang Chen, Wen-Lin Liu, Chi-Bang Chen, "An Automated Bacterial Colony Counting System," sutc, pp.233-240, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008), 2008
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