Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2012High definition 2D and 3D X-ray fluorescence imaging in real-time: Maia detector system quantitative imaging methodscitations
  • 2010High definition trace element imaging of natural material using the new Maia X-ray detector array and processorcitations
  • 2010The Maia X-ray detector array at the Australian Synchrotron: High definition SXRF trace element imagingcitations

Places of action

Chart of shared publication
De Geronimo, Gianluigi
3 / 3 shared
Paterson, David
3 / 7 shared
Li, Zhi Yong
1 / 1 shared
Kuczewski, Tony
3 / 3 shared
Borg, Stacey
2 / 3 shared
Hough, Rob
3 / 7 shared
Cleverley, James
3 / 5 shared
De Jonge, Martin
3 / 4 shared
Howard, Daryl
3 / 4 shared
Davey, Peter
3 / 3 shared
Donner, Erica
1 / 2 shared
Lombi, Enzo
1 / 4 shared
Dunn, Paul
3 / 3 shared
Moorhead, Gareth
3 / 5 shared
Jensen, Murray
3 / 3 shared
Lintern, Mel
2 / 2 shared
Myers, Damian
1 / 1 shared
Laird, Jamie
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Ryan, Chris
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Etschmann, Barbara
1 / 4 shared
Mcnulty, Ian
1 / 2 shared
Eyberger, Catherine
1 / 1 shared
Lai, Barry
1 / 17 shared
Chart of publication period
2012
2010

Co-Authors (by relevance)

  • De Geronimo, Gianluigi
  • Paterson, David
  • Li, Zhi Yong
  • Kuczewski, Tony
  • Borg, Stacey
  • Hough, Rob
  • Cleverley, James
  • De Jonge, Martin
  • Howard, Daryl
  • Davey, Peter
  • Donner, Erica
  • Lombi, Enzo
  • Dunn, Paul
  • Moorhead, Gareth
  • Jensen, Murray
  • Lintern, Mel
  • Myers, Damian
  • Laird, Jamie
  • Ryan, Chris
  • Etschmann, Barbara
  • Mcnulty, Ian
  • Eyberger, Catherine
  • Lai, Barry
OrganizationsLocationPeople

document

High definition 2D and 3D X-ray fluorescence imaging in real-time: Maia detector system quantitative imaging methods

  • De Geronimo, Gianluigi
  • Paterson, David
  • Li, Zhi Yong
  • Kuczewski, Tony
  • Borg, Stacey
  • Hough, Rob
  • Cleverley, James
  • De Jonge, Martin
  • Howard, Daryl
  • Davey, Peter
  • Donner, Erica
  • Siddons, Pete
  • Lombi, Enzo
  • Dunn, Paul
  • Moorhead, Gareth
  • Jensen, Murray
Abstract

The Maia fluorescence detector array and imaging system [1,2], integrated into the X-ray Fluorescence Microscopy (XFM) beamline at the Australian Synchrotron [3], collects scanned data-sets up to ~10000 lines for high definition SXRF element images up to ~100M pixels, or~100M voxel data-sets for 3D fluorescence tomography [4] and chemical state (XANES) imaging [5]. Maia combines a large solid-angle annular energy-dispersive 384 detector array, stage encoder and flux counter inputs and dedicated FPGA-based real-time event processor enabling high definition imaging and enhanced sensitivity to capture the complex hierarchical detail in natural samples and detect rare trace structures and place them in a detailed spatial context with minimum dose to minimize radiation damage issues.This paper provides an update on the Maia concept and reports on developments in methods for real-time spectral deconvolution of event data (at count rates above 10 M/s and transit times per pixel as short as 50 µs) to provide users with interactive, quantitative 2D element images on-line during data acquisition, methods for per pixel correction for dwell (stage velocity) and flux variation, support for chemical state and tomographic 3D imaging and off-line parallel processing methods for enhanced throughput. Maia performance and methods are illustrated using applications over the past 2 years involving rare fine-scale features and detail spanning 4 orders of magnitude from ~2 µm to ~20 mm in complex geological, environmental and biological samples.References: [1] D.P. Siddons et al., AIP Conference Proceedings 705, 953 (2004). [2] R. Kirkham et al., AIP Conference Proceedings 1234, 240-243 (2010). [3] D. Paterson et al., AIP Conference Proceedings 1365, 219 (2011). [4] E. Lombi et al., PLoS ONE 6(6): e20626 (2011), doi:10.1371/journal.pone.0020626. [5] B.E. Etschmann et al., American Mineralogist 95, 884 (2010).

Topics
  • tomography
  • fluorescence microscopy