IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0061268.html
   My bibliography  Save this article

Coherent Superposition in Grating-Based Directional Dark-Field Imaging

Author

Listed:
  • Andreas Malecki
  • Guillaume Potdevin
  • Thomas Biernath
  • Elena Eggl
  • Eduardo Grande Garcia
  • Thomas Baum
  • Peter B Noël
  • Jan S Bauer
  • Franz Pfeiffer

Abstract

X-ray dark-field scatter imaging allows to gain information on the average local direction and anisotropy of micro-structural features in a sample well below the actual detector resolution. For thin samples the morphological interpretation of the signal is straight forward, provided that only one average orientation of sub-pixel features is present in the specimen. For thick samples, however, where the x-ray beam may pass structures of many different orientations and dimensions, this simple assumption in general does not hold and a quantitative description of the resulting directional dark-field signal is required to draw deductions on the morphology. Here we present a description of the signal formation for thick samples with many overlying structures and show its validity in experiment. In contrast to existing experimental work this description follows from theoretical predictions of a numerical study using a Fourier optics approach. One can easily extend this description and perform a quantitative structural analysis of clinical or materials science samples with directional dark-field imaging or even direction-dependent dark-field CT.

Suggested Citation

  • Andreas Malecki & Guillaume Potdevin & Thomas Biernath & Elena Eggl & Eduardo Grande Garcia & Thomas Baum & Peter B Noël & Jan S Bauer & Franz Pfeiffer, 2013. "Coherent Superposition in Grating-Based Directional Dark-Field Imaging," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-7, April.
  • Handle: RePEc:plo:pone00:0061268
    DOI: 10.1371/journal.pone.0061268
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0061268
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0061268&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0061268?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0061268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.