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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.
INDEX TERMS
Grid Computing, Virtual Instruments
CITATION
Stefan Schek, Tirath Ramdas, Martin Lackmann, Blair Bethwaite, A. B. M. Russel, Colin Enticott, David Abramson, Minh Ngoc Dinh, Mary Vail, Stephen Firth, Hoang Nguyen, Ian Harper, Slavisa Garic, "Virtual Microscopy and Analysis Using Scientific Workflows", 2012 IEEE 8th International Conference on E-Science, vol. 00, no. , pp. 239-246, 2009, doi:10.1109/e-Science.2009.41
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