TXM-Wizard: a program for advanced data collection and evaluation in full-field transmission X-ray microscopy
Transmission X‐ray microscopy (TXM) has been well recognized as a powerful tool for non‐destructive investigation of the three‐dimensional inner structure of a sample with spatial resolution down to a few tens of nanometers, especially when combined with synchrotron radiation sources. Recent develop...
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Published in | Journal of synchrotron radiation Vol. 19; no. 2; pp. 281 - 287 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
5 Abbey Square, Chester, Cheshire CH1 2HU, England
International Union of Crystallography
01.03.2012
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Subjects | |
Online Access | Get full text |
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Summary: | Transmission X‐ray microscopy (TXM) has been well recognized as a powerful tool for non‐destructive investigation of the three‐dimensional inner structure of a sample with spatial resolution down to a few tens of nanometers, especially when combined with synchrotron radiation sources. Recent developments of this technique have presented a need for new tools for both system control and data analysis. Here a software package developed in MATLAB for script command generation and analysis of TXM data is presented. The first toolkit, the script generator, allows automating complex experimental tasks which involve up to several thousand motor movements. The second package was designed to accomplish computationally intense tasks such as data processing of mosaic and mosaic tomography datasets; dual‐energy contrast imaging, where data are recorded above and below a specific X‐ray absorption edge; and TXM X‐ray absorption near‐edge structure imaging datasets. Furthermore, analytical and iterative tomography reconstruction algorithms were implemented. The compiled software package is freely available. |
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Bibliography: | ArticleID:JSYHF5192 ark:/67375/WNG-C5W12P9C-T istex:10E2644A4678FA470DD643C47E078334A403077F ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 USDOE Office of Science (SC), Basic Energy Sciences (BES) National Institutes of Health (NIH) AC02-76SF00515; 5F01EB004321 These authors contributed equally to this work. |
ISSN: | 1600-5775 0909-0495 1600-5775 |
DOI: | 10.1107/S0909049511049144 |