Fractals in microscopy.

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Bibliographic Details
Title: Fractals in microscopy.
Authors: LANDINI, G.1
Source: Journal of Microscopy. Jan2011, Vol. 241 Issue 1, p1-8. 8p.
Subjects: Fractals, Geometry problems & exercises, Dimension theory (Topology), Similarity (Geometry), Microscopy, Scaling laws (Nuclear physics), Mandelbrot, Benoit B., 1924-2010
Abstract: Fractal geometry, developed by B. Mandelbrot, has provided new key concepts necessary to the understanding and quantification of some aspects of pattern and shape randomness, irregularity, complexity and self-similarity. In the field of microscopy, fractals have profound implications in relation to the effects of magnification and scaling on morphology and to the methodological approaches necessary to measure self-similar structures. In this article are reviewed the fundamental concepts on which fractal geometry is based, their relevance to the microscopy field as well as a number of technical details that can help improving the robustness of morphological analyses when applied to microscopy problems. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Microscopy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Fractal geometry, developed by B. Mandelbrot, has provided new key concepts necessary to the understanding and quantification of some aspects of pattern and shape randomness, irregularity, complexity and self-similarity. In the field of microscopy, fractals have profound implications in relation to the effects of magnification and scaling on morphology and to the methodological approaches necessary to measure self-similar structures. In this article are reviewed the fundamental concepts on which fractal geometry is based, their relevance to the microscopy field as well as a number of technical details that can help improving the robustness of morphological analyses when applied to microscopy problems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Microscopy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/j.1365-2818.2010.03454.x
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        Text: English
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      – SubjectFull: Fractals
        Type: general
      – SubjectFull: Geometry problems & exercises
        Type: general
      – SubjectFull: Dimension theory (Topology)
        Type: general
      – SubjectFull: Similarity (Geometry)
        Type: general
      – SubjectFull: Microscopy
        Type: general
      – SubjectFull: Scaling laws (Nuclear physics)
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      – SubjectFull: Mandelbrot, Benoit B., 1924-2010
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              Text: Jan2011
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