D. Abramson, B. Bethwaite, M. N. Dinh, C. Enticott, Stephen Firth, S. Garic, I. Harper, M. Lackmann, H. Nguyen, Tirath Ramdas, A. Russel, Stefan Schek, Mary Vail
{"title":"Virtual Microscopy and Analysis Using Scientific Workflows","authors":"D. Abramson, B. Bethwaite, M. N. Dinh, C. Enticott, Stephen Firth, S. Garic, I. Harper, M. Lackmann, H. Nguyen, Tirath Ramdas, A. Russel, Stefan Schek, Mary Vail","doi":"10.1109/e-Science.2009.41","DOIUrl":null,"url":null,"abstract":"Most commercial microscopes are stand-alone instruments, controlled by dedicated computer systems. These provide limited storage and processing capabilities. Virtual microscopes, on the other hand, link the image capturing hardware and data analysis software into a wide area network of high performance computers, large storage devices and software systems. In this paper we discuss extensions to Grid workflow engines that allow them to execute scientific experiments on virtual microscopes. We demonstrate the utility of such a system in a biomedical case study concerning the imaging of cancer and antibody based therapeutics.","PeriodicalId":325840,"journal":{"name":"2009 Fifth IEEE International Conference on e-Science","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth IEEE International Conference on e-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/e-Science.2009.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Most commercial microscopes are stand-alone instruments, controlled by dedicated computer systems. These provide limited storage and processing capabilities. Virtual microscopes, on the other hand, link the image capturing hardware and data analysis software into a wide area network of high performance computers, large storage devices and software systems. In this paper we discuss extensions to Grid workflow engines that allow them to execute scientific experiments on virtual microscopes. We demonstrate the utility of such a system in a biomedical case study concerning the imaging of cancer and antibody based therapeutics.
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