• DocumentCode
    3103580
  • Title

    Virtual Microscopy and Analysis Using Scientific Workflows

  • Author

    Abramson, David ; Bethwaite, Blair ; Dinh, Minh Ngoc ; Enticott, Colin ; Firth, Stephen ; Garic, Slavisa ; Harper, Ian ; Lackmann, Martin ; Nguyen, Hoang ; Ramdas, Tirath ; Russel, A.B.M. ; Schek, Stefan ; Vail, Mary

  • Author_Institution
    Fac. of Inf. Technol., Monash Univ., Clayton, VIC, Australia
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    239
  • Lastpage
    246
  • 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.
  • Keywords
    cancer; data analysis; grid computing; medical image processing; microscopes; storage management; virtual instrumentation; workflow management software; antibody based therapeutics; biomedical case study; cancer imaging; commercial microscopes; data analysis software; dedicated computer systems; grid workflow engines; high performance computers; image capturing hardware; large storage devices; scientific experiments; scientific workflows; software systems; stand-alone instruments; virtual microscopy; wide area network; Biomedical computing; Computer networks; Control systems; Data analysis; Hardware; Image storage; Instruments; Microscopy; Software performance; Wide area networks; Grid Computing; Virtual Instruments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Science, 2009. e-Science '09. Fifth IEEE International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-0-7695-3877-8
  • Type

    conf

  • DOI
    10.1109/e-Science.2009.41
  • Filename
    5380862