NDLI: Error Reduction on Automatic Segmentation in Microarray Image

Content Provider	IEEE Xplore Digital Library
Author	Tsai, Tsung-Han Yang, Chien-Po Tsai, Wei-Chi Chen, Pin-Hua
Copyright Year	2007
Description	Author affiliation: Department of Electrical Engineering, National Central University, Chung-Li, Taiwan, han@ee.ncu.edu.tw (Tsai, Tsung-Han) \|\| Department of Electrical Engineering, National Central University, Chung-Li, Taiwan, pinhua@dsp.ee.ncu.edu.tw (Chen, Pin-Hua) \|\| Department of Electrical Engineering, National Central University, Chung-Li, Taiwan, texit@dsp.ee.neu.edu.tw (Yang, Chien-Po) \|\| Graduate Institute of Biotechnology, Chinese Culture University, Taipei, Taiwan, weichi@pccu.du.tw (Tsai, Wei-Chi)
Abstract	DNA Microarray hybridization is a popular high throughput technique in academic as well as in industrial genomics research. The Microarray image is considered as an important tool and powerful technology for large-scale gene sequence and gene expression analysis. There are many methods to analyze the Microarray image by automatic segmentation or gridding spot. These methods always have the same problem of noise and tilt in spot array. It is difficult to process strong noise image in automation. In this paper, we can reduce the error of the edge detection which is influenced by noise and tilt spot array. We propose an automatic segmentation method with some techniques from video segmentation to process the Microarray image. By the proposed method, we can reduce the automatic spot segmentation errors and get more exact spot position. Our method has the advantages of low computation and easy implementation. Eventually, we compare the result with ScanAlyze tool since ScanAlyze tool extracts spot position and edge by artificial interface. We obtain the 1.43% average differential value of spots analysis ratio in result with ScanAlyze.
Starting Page	76
Ending Page	81
File Size	3785195
Page Count	6
File Format	PDF
ISBN	9781424412211
ISSN	15206130
DOI	10.1109/SIPS.2007.4387521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image analysis DNA Throughput Genomics Bioinformatics Large-scale systems Gene expression Image sequence analysis Automation microarray image Canny edge detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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