Automatic Spot Identification for High Throughput Microarray Analysis.

Eunice Wu, Yan A Su, Eric Billings, Bernard R Brooks, Xiongwu Wu
{"title":"Automatic Spot Identification for High Throughput Microarray Analysis.","authors":"Eunice Wu,&nbsp;Yan A Su,&nbsp;Eric Billings,&nbsp;Bernard R Brooks,&nbsp;Xiongwu Wu","doi":"10.4172/2155-9538.S5-005","DOIUrl":null,"url":null,"abstract":"<p><p>High throughput microarray analysis has great potential in scientific research, disease diagnosis, and drug discovery. A major hurdle toward high throughput microarray analysis is the time and effort needed to accurately locate gene spots in microarray images. An automatic microarray image processor will allow accurate and efficient determination of spot locations and sizes so that gene expression information can be reliably extracted in a high throughput manner. Current microarray image processing tools require intensive manual operations in addition to the input of grid parameters to correctly and accurately identify gene spots. This work developed a method, herein called auto-spot, to automate the spot identification process. Through a series of correlation and convolution operations, as well as pixel manipulations, this method makes spot identification an automatic and accurate process. Testing with real microarray images has demonstrated that this method is capable of automatically extracting subgrids from microarray images and determining spot locations and sizes within each subgrid, regardless of variations in array patterns and background noises. With this method, we are one step closer to the goal of high throughput microarray analysis.</p>","PeriodicalId":73616,"journal":{"name":"Journal of bioengineering & biomedical science","volume":"Suppl 5 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3843961/pdf/nihms450836.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of bioengineering & biomedical science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2155-9538.S5-005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

High throughput microarray analysis has great potential in scientific research, disease diagnosis, and drug discovery. A major hurdle toward high throughput microarray analysis is the time and effort needed to accurately locate gene spots in microarray images. An automatic microarray image processor will allow accurate and efficient determination of spot locations and sizes so that gene expression information can be reliably extracted in a high throughput manner. Current microarray image processing tools require intensive manual operations in addition to the input of grid parameters to correctly and accurately identify gene spots. This work developed a method, herein called auto-spot, to automate the spot identification process. Through a series of correlation and convolution operations, as well as pixel manipulations, this method makes spot identification an automatic and accurate process. Testing with real microarray images has demonstrated that this method is capable of automatically extracting subgrids from microarray images and determining spot locations and sizes within each subgrid, regardless of variations in array patterns and background noises. With this method, we are one step closer to the goal of high throughput microarray analysis.

高通量微阵列分析的自动点识别。
高通量微阵列分析在科学研究、疾病诊断和药物发现方面具有巨大的潜力。高通量微阵列分析的主要障碍是在微阵列图像中精确定位基因点所需的时间和精力。自动微阵列图像处理器将允许准确和有效地确定斑点的位置和大小,以便基因表达信息可以可靠地以高通量的方式提取。目前的微阵列图像处理工具除了需要输入网格参数外,还需要大量的人工操作才能正确准确地识别基因点。这项工作开发了一种方法,这里称为自动斑点,自动化斑点识别过程。该方法通过一系列的相关和卷积运算,以及像素处理,使斑点识别成为一个自动化和准确的过程。对真实微阵列图像的测试表明,该方法能够自动从微阵列图像中提取子网格,并确定每个子网格内的斑点位置和大小,而不受阵列模式和背景噪声的影响。有了这种方法,我们离高通量微阵列分析的目标又近了一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信