Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/e-Science.2009.41 | eScience |
Keywords | DocType | ISBN |
software system,dedicated computer system,limited storage,commercial microscope,high performance computer,scientific workflows,biomedical case study,large storage device,data analysis software,virtual microscope,virtual microscopy,grid workflow engine | Conference | 978-0-7695-3877-8 |
Citations | PageRank | References |
3 | 0.46 | 9 |
Authors | ||
13 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Abramson | 1 | 3302 | 393.08 |
| Blair Bethwaite | 2 | 49 | 5.67 |
| Minh Ngoc Dinh | 3 | 41 | 8.69 |
| Colin Enticott | 4 | 231 | 21.68 |
| Stephen Firth | 5 | 6 | 1.26 |
| Slavisa Garic | 6 | 114 | 12.83 |
| Ian Harper | 7 | 6 | 1.26 |
| Martin Lackmann | 8 | 22 | 3.09 |
| Hoang Nguyen | 9 | 42 | 7.49 |
| Tirath Ramdas | 10 | 16 | 2.34 |
| A. B. M. Russel | 11 | 11 | 3.09 |
| Stefan Schek | 12 | 6 | 1.26 |
| Mary Vail | 13 | 6 | 1.26 |