{"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.