Nanocrystallic thin films statistical structural analysis by the automatic image processing

2013 ◽  
Author(s):  
Maciek Wielgus ◽  
Zofia Sunderland ◽  
Daniel Koguciuk ◽  
Krzysztof Patorski ◽  
Grzegorz Słowik
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.


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A Jäger-Waldau ◽  
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2009 ◽  
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Author(s):  
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T.C. Goel ◽  
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1998 ◽  
Vol 19 (4) ◽  
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Author(s):  
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Toshihisa HORIUCHI ◽  
Kazumi MATSUSHIGE MATSUSHIGE

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