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E.I.M. Tomography

Electronic Imaging for Microscopy: Tomography Tools & Data

Client: U.S. Air Force Research Laboratory - Wright-Patterson AFB

The Electronic Imaging for Microscopy project is an initiative designed to modernize data analysis for Materials Science by developing and adapting Signal Processing algorithms towards reducing the human interaction necessary for analysis of digitally acquired image data. Since the development of classical image processing algorithms in the 1970's, many algorithmic approaches have been developed for applications such as medical imaging, homeland security, and computer vision that cannot rely on the intervention of experts to analyze data by hand. Invariably, these algorithms involve (ill-posed) inverse methods that require some prior knowledge of what the structures observed should look like in order to produce reasonable answers. The EIM effort uses Materials Science-specific prior knowledge in order to develop Materials Science-specific algorithms for analysis of microscope-acquired image data to develop realistic models of the structures of the materials examined.
These models are useful for subsequent activities such as physics-based forward modeling or developing statistical models of structure. All codes and data are contributed to the greater Materials Science community in order to further the goals of Integrated Computational Materials Engineering as well as reducing the time-to-market for new materials.

This is a joint effort between the Electronic Imaging and Materials Science communities that is part of the ICMD Tools program at the Materials Directorate of the Air Force Research Laboratory.

Software [[Links and Files needed]]
A development release version of the HAADF reconstruction software is being made available for those wanting to experiment with its capabilities. The software is still under heavy development and may experience crashes or other problems. Please report all bugs to the authors email address as described in the About box of the application.

Windows XP/Vista/7 64 bit
OpenMBIR-v1.662-Win64.zip

Windows XP/Vista/7 32 bit
OpenMBIR-v1.662-Win32.zip

OS X 10.5/10.6/10.7/10.8 64 bit Intel
OpenMBIR-v1.662-OSX.tar.gz


Example Data Sets
An example data set acquired from an STEM session consisting of Al spheres can be downloaded from the OpenMBIR.org web site here. We recommend the use of this data set to get comfortable with the software program. On newer hardware this data set can be reconstructed in under 10 minutes.

White Papers [[Link Needed]]
High Angle Annular Dark Field (HAADF) STEM Tomography

August 2011 Kickoff Metting Presentations
Jeff Simmons (AFRL) Simmons.pdf
Charles Bouman (Purdue university)  
Jeremy Knopp (AFRL) ENDE_2010_FinalPCM.pdf
Mac DeGraef (Carnegie-Mellon University) EIC-Yr2-DeGraef.pdf
Mary comer (Purdue University) Comer_AFR2011Aug.pdf

 

Data Set designation Description Zip Format File Size
Run3TiO2PS100k_WBP US Air Force 88 ABW Public Affairs release number: 88ABW-2011-3573 Run3TiO2PS100k_WBP.rec.zip 1,276,593,092 Bytes
Al. Sphere Phantom Data Set Simulated Aluminum Spheres containing 140 tilts (+- 70 Degrees)  AlSpherePhantom.zip 95,367,012 Bytes
Full Reconstruction Early full reconstruction of the TiO2PS100k data set TiO2FullReconX1844Z300Y348P1_2.vtk.zip 985,731,998 Bytes