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Coherently aligned nanoparticles within a biogenic single crystal: A biological prestressing strategy

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      Most cited references 49

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      Fiji: an open-source platform for biological-image analysis.

      Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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        An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments

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          ATHENA, ARTEMIS, HEPHAESTUS: data analysis for X-ray absorption spectroscopy using IFEFFIT.

           B Ravel,  M Newville (2005)
          A software package for the analysis of X-ray absorption spectroscopy (XAS) data is presented. This package is based on the IFEFFIT library of numerical and XAS algorithms and is written in the Perl programming language using the Perl/Tk graphics toolkit. The programs described here are: (i) ATHENA, a program for XAS data processing, (ii) ARTEMIS, a program for EXAFS data analysis using theoretical standards from FEFF and (iii) HEPHAESTUS, a collection of beamline utilities based on tables of atomic absorption data. These programs enable high-quality data analysis that is accessible to novices while still powerful enough to meet the demands of an expert practitioner. The programs run on all major computer platforms and are freely available under the terms of a free software license.
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            Author and article information

            Journal
            Science
            Science
            American Association for the Advancement of Science (AAAS)
            0036-8075
            1095-9203
            December 07 2017
            December 07 2017
            : 358
            : 6368
            : 1294-1298
            10.1126/science.aaj2156
            © 2017

            http://www.sciencemag.org/about/science-licenses-journal-article-reuse

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