Special Research Initiatives - Grant ID: SR0567533
Funder
Australian Research Council
Funding Amount
$120,000.00
Summary
Scientific Instruments as ICT Components in Building a GrEMLIN for e-Research. The proposal seeks to initiate the development of a GrEMLIN, a Grid Enabled Multi-Level Instrument Network, for e-Research. Scientific instruments, whether at conventional laboratories or at major facilities, may be regarded as specialised ICT components in a network providing remote access to such instrumentation. Collaborative remote access and data analysis brings efficiency and effectiveness dividends, that can ....Scientific Instruments as ICT Components in Building a GrEMLIN for e-Research. The proposal seeks to initiate the development of a GrEMLIN, a Grid Enabled Multi-Level Instrument Network, for e-Research. Scientific instruments, whether at conventional laboratories or at major facilities, may be regarded as specialised ICT components in a network providing remote access to such instrumentation. Collaborative remote access and data analysis brings efficiency and effectiveness dividends, that can be enhanced through the harnessing of Grid technologies. The collaborative project will leverage middleware, Web Services and e-Science software developments in the US and UK, to provide Grid enabled remote instrument access and data analysis as a powerful e-Research tool.Read moreRead less
Special Research Initiatives - Grant ID: SR0567334
Funder
Australian Research Council
Funding Amount
$125,748.00
Summary
A Grid-Enabled National Archive of Nanostructural Imagery (GRANI). The Nanostructural Analysis Network Organization (NANO) is an Australian Major National Research Facility that provides access to a grid of advanced microscopic instruments for the nanostructural analysis of both physical materials and biological systems. The aim of this initiative is to provide the NANO community with a set of common, interoperable tools and services to enable more efficient, cost-effective storage, management, ....A Grid-Enabled National Archive of Nanostructural Imagery (GRANI). The Nanostructural Analysis Network Organization (NANO) is an Australian Major National Research Facility that provides access to a grid of advanced microscopic instruments for the nanostructural analysis of both physical materials and biological systems. The aim of this initiative is to provide the NANO community with a set of common, interoperable tools and services to enable more efficient, cost-effective storage, management, analysis and sharing of generated microscopic images, video and analytical data. The significance of the proposed middleware is that it will improve collaboration and reduce duplication across many disciplines, through a shareable, distributed national scientific image/video database.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775747
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites.
The leading-edge, grid-based, software and ....Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites.
The leading-edge, grid-based, software and computational techniques developed for the project will enable visualization, analysis and modelling of massive volumes of image and other visualisation data. This capability is important in medical research where large visualisation data volumes are being created and studied by experts remote from each other.
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