Robust Automatic Feature Extraction for Protein Microarrays

被引：0

作者：

Ahmed, Murat O. ^{[1
]}

Dyer, Justin S. ^{[1
]}

Hytopoulos, Evangelos ^{[2
]}

Itakura, Haruka ^{[3
]}

Tsao, Philip S. ^{[3
]}

机构：

[1] Stanford Univ, Dept Stat, Stanford, CA 94305 USA

[2] Aviir Inc, Palo Alto, CA 94303 USA

[3] Stanford Univ, Sch Med, Div Cardiovasc Med, Stanford, CA 94305 USA

来源：

I2MTC: 2009 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3 | 2009年

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

Protein microarray; feature extraction; image processing; IMAGE SEGMENTATION; MAX FILTERS; MIN;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

In this paper, we present a robust methodology for image registration, segmentation, and feature extraction for protein microarrays. Originally designed for application to an Agilent microarray platform, the algorithms used are easily adapted to other platforms. Linear and nonlinear filtering techniques are used to identify protein signals on the array. After signal identification, expression values for each protein are then derived. Emphasis is placed on robustness of feature identification and low computational complexity.

引用

页码：1721 / +

页数：2

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