Image analysis system for 96-well plate fluorescence assays

S. Muttan, Durai Arun Pannir Selvam, K. Sankaran
{"title":"Image analysis system for 96-well plate fluorescence assays","authors":"S. Muttan, Durai Arun Pannir Selvam, K. Sankaran","doi":"10.1109/ICCCNT.2012.6395958","DOIUrl":null,"url":null,"abstract":"Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCNT.2012.6395958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.
96孔板荧光分析图像分析系统
96孔格式的荧光分析已成为实验室和临床程序的常规方法。因此,有必要开发一种能够以负担得起的成本制造更便宜的读取器的高通量分析方法。本文研究了一种基于图像的荧光输运液分析系统,用于96孔微滴板的荧光输运液分析。采集到的图像被传递到一个采用神经网络架构的图像分析系统,该系统将结果分为快速流出、中等流出和慢流出。
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