DocumentCode
3467163
Title
An Effective and Robust Method for Automatic Bacterial Colony Enumeration
Author
Zhang, Chengcui ; Chen, Wei-Bang
Author_Institution
Univ. of Alabama at Birmingham (UAB), Birmingham
fYear
2007
fDate
17-19 Sept. 2007
Firstpage
581
Lastpage
588
Abstract
Bacterial colony enumeration has applications in many different assays such as antibiotic screening, toxicology testing, and genotoxicity measuring. The counting of bacterial colony is usually performed by well-trained technicians manually. However, this manual enumeration process has a very low throughput, and is time consuming and labor intensive in practice. To provide consistent and accurate results and improve the throughput, the existing colony counter devices and software were then developed and commercialized in the market. In this study, we propose a fully automatic colony counter and compare its performance with Clono-Counter, an existing automatic colony counter reported by Niyazi et al. Our proposed method can significantly reduce the manual labor by automatically detecting the dish/plate region and extracting and counting colonies. Our experimental results show that the proposed method outperforms Clono-Counter in terms of Precision, Recall, and F-measures.
Keywords
biology computing; microorganisms; toxicology; antibiotic screening; automatic bacterial colony enumeration; automatic colony counter; manual enumeration process; toxicology testing; Antibiotics; Commercialization; Counting circuits; Fluorescence; Laboratories; Microorganisms; Robustness; Shape; Throughput; Toxicology;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing, 2007. ICSC 2007. International Conference on
Conference_Location
Irvine, CA
Print_ISBN
978-0-7695-2997-4
Type
conf
DOI
10.1109/ICSC.2007.20
Filename
4338397
Link To Document