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基于细胞神经网络的生物芯片图像实时处理
引用本文:律睿慜,杨勇,王淑蓉,唐小萍,严伟.基于细胞神经网络的生物芯片图像实时处理[J].电子技术应用,2008,34(5):127-129.
作者姓名:律睿慜  杨勇  王淑蓉  唐小萍  严伟
作者单位:1. 中国科学院光电技术研究所,四川,成都,610209;中国科学院研究生院,北京,100039
2. 中国科学院光电技术研究所,四川,成都,610209
摘    要:运用CNN设计了一套生物芯片样点识别算法。算法实现的目标:改善已有方法的缺陷,达到良好的图像质量增强效果;将CNN输出的模拟信号图像转化为样点数据信息,使得后续的信息分析成为可能。最后利用实际CNN芯片参数估算了整套算法的运算时间,结果显示其速度达到实时处理的标准。

关 键 词:生物芯片  微阵列芯片  样点识别  细胞神经网络
修稿时间:2007年10月26

Automatic identification of spots in biochip images based on cellular neural network
LV Rui Min,YANG Yong,WANG Shu Rong,TANG Xiao Ping.Automatic identification of spots in biochip images based on cellular neural network[J].Application of Electronic Technique,2008,34(5):127-129.
Authors:LV Rui Min    YANG Yong  WANG Shu Rong  TANG Xiao Ping
Affiliation:LV Rui Min1,2,YANG Yong1,WANG Shu Rong1,TANG Xiao Ping1 (1. Institute of Optics , Electronics,the Chinese Academy of Sciences,Chengdu 610209,China,2. Graduate School of Chinese Academy of Sciences,Beijing 100039,China)
Abstract:Based on Cellular Neural Networks (CNN), an algorithm for spots identification of microarray image was designed in this paper. The proposed algorithm achieves two goals:modified the algorithm used recently, results show that enhancement of image quality can be done by our algorithm; transformed the analog output image of CNN to digital data, which made the consequent information analysis possible. Finally, we estimate the running time of the algorithm by taking into account the parameters of a real CNN chip...
Keywords:biochip  microarray  spots identification  cellular neural networks  
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