【作者】 翁桂荣；

【Author】 WENG Guirong School of Mechanic&Electronic Engineering,Soochow University,Jiangsu Suzhou 215021,P.R.China

【机构】 苏州大学机电工程学院；

【摘要】 cDNA微阵列图像分析的目的是测量每个靶点的光亮度,靶点的光亮度在细胞中表现特定基因的数量,其测量结果直接影响到其后续分析研究。微阵列图像分析包括三个步骤:图像网格化,图像分割以及信息抽取。本文利用数学形态学及形态学分割方法自动提取cDNA微阵列靶点图像,图像分析结果与目前最流行的微阵列图像分析软件GenePix及法国学者AnguloJ等提出的方法对比研究,表明该算法是精确、稳定及有效的。特别适用于处理由于机械机构造成的靶点位置偏差、相互粘连及形状不同的微阵列图像。更多还原

【Abstract】 cDNA microarray is one of the most recent and important technology for exploring the genome.cDNA microarray image analysis aims to measure the intensity for each spot in the scanned image and this intensity represents the amount of a specific gene in the studied cell.It can affect subsequent analysis such as identification of differentially expressed genes.Microarray image analysis includes three tasks:spot gridding,segmentation and information extraction.This paper presents a new algorithm that achieves an automated way for applying mathematical morphology and morphological segmentation.It compares experimental results with those obtained from the widely used software GenePixPro(USA),Angulo J(France)and Hongwei Li(China).The result of experiment shows that it is robustness and precision.The way is adaptive to different shape,conglutination and deviant spot image.更多还原