NDLI: An automated bacterial colony counting and classification system

Content Provider	Springer Nature Link
Author	Chen, Wei Bang Zhang, Chengcui
Copyright Year	2009
Abstract	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 may exist hundreds or thousands of colonies on a Petri dish, and the counting process is usually manually performed by well-trained technicians. In this paper, we introduce a fully automatic yet cost-effective bacterial colony counter which can not only count but also classify colonies. Our proposed method can recognize chromatic and achromatic images and thus can deal with both color and clear medium. In addition, the proposed method is software-centered and can accept general digital camera images as its input. The counting process includes detecting dish/plate regions, identifying colonies, separating aggregated colonies, and reporting colony counts. In order to differentiate colonies of different species, the proposed counter adopts one-class Support Vector Machine (SVM) with Radial Basis Function (RBF) as the classifier. Our proposed counter demonstrates a promising performance in terms of both precision and recall, and is robust and efficient in terms of labor-and time-savings.
Starting Page	349
Ending Page	368
Page Count	20
File Format	PDF
ISSN	13873326
Journal	Information Systems Frontiers
Volume Number	11
Issue Number	4
e-ISSN	15729419
Language	English
Publisher	Springer US
Publisher Date	2009-02-18
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biomedical image mining Bacterial colony counting Segmentation Clustering Classification One-class SVM Operations Research/Decision Theory Systems Theory, Control Management of Computing and Information Systems Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Networks and Communications Information Systems Software

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