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A microarray image gridding method based on image projection difference sequences analysis and local extrema searching
Liu J(刘军); Feng YJ(冯艳君); Liu WJ(刘伟军); Wang TR(王天然)
Department装备制造技术研究室
Conference Name10th World Congress on Intelligent Control and Automation, WCICA 2012
Conference DateJuly 6-8, 2012
Conference PlaceBeijing, China
Author of SourceAcademy of Mathematics and Systems Science; IEEE Robotics and Automation Society; IEEE Control Systems Society; National Natural Science Foundation of China; Chinese Association of Automation
Source PublicationWCICA 2012 - Proceedings of the 21th World Congress on Intelligent Control and Automation
PublisherIEEE
Publication PlacePiscataway, NJ, United States
2012
Pages4961-4964
Indexed ByEI
EI Accession number20130415919894
Contribution Rank2
ISBN978-1-4673-1398-8
KeywordGenes Intelligent Control Low Pass Filters Optical Projectors Reliability Analysis Signal Processing
AbstractMicroarray image gridding is one important step of microarray image analysis to determine 2D image coordinates of all array spots in the hybridized gene chip image. Accuracy of microarray image gridding will affect the reliability of gene-chip data extraction and even the final analysis results of gene-chip assays. However, in recent years, many new microarray image gridding methods presented have higher accuracy but have more computation complexity than those precedented ones. To promote gridding accuracy and decrease computation complexity simultaneously, we presented a novel and simple microarray image gridding method based on image projection sequences analysis and local extrema searching. Firstly we transformed 2D microarray image into vertical and horizontal 1D projection sequences, secondly utilized signal processing methods of low pass filtering and zero mean to filtered projection sequences, thirdly computed the first-order difference and second-order difference for the smoothed signals, and finally realized microarray image gridding according to the local extrema of difference sequences and span information of spots array on the microarray image. The subsequent gridding experiments showed that this method had met the requirements of computing accuracy and efficiency of microarray image gridding.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10396
Collection智能产线与系统研究室
Affiliation1.School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning 110159, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
Recommended Citation
GB/T 7714
Liu J,Feng YJ,Liu WJ,et al. A microarray image gridding method based on image projection difference sequences analysis and local extrema searching[C]//Academy of Mathematics and Systems Science; IEEE Robotics and Automation Society; IEEE Control Systems Society; National Natural Science Foundation of China; Chinese Association of Automation. Piscataway, NJ, United States:IEEE,2012:4961-4964.
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