Deconvolution of the two-dimensional point-spread function of area detectors using the maximum-entropy algorithm

H. Graafsma, R.Y. de Vries

    Research output: Contribution to journalArticleAcademicpeer-review

    9 Citations (Scopus)

    Abstract

    The maximum-entropy method (MEM) has been applied for the deconvolution of the point-spread function (PSF) of two-dimensional X-ray detectors. The method is robust, model and image independent, and only depends on the correct description of the two-dimensional point-spread function and gain factor of the detector. A significant enhancement of both the spatial resolution and the contrast ratio has been obtained for two phase-contrast images recorded with an ultra-high-resolution X-ray imaging detector. The method has also been applied to a Laue diffraction image of a protein crystal, showing an important improvement in both the peak separation of closely spaced diffraction peaks and the signal-to-noise ratio of medium and weak peaks. The principle of the method is explained and examples of its application are presented.
    Original languageEnglish
    Pages (from-to)683-691
    JournalJournal of applied crystallography
    Volume32
    Issue number4
    DOIs
    Publication statusPublished - 1999

    Keywords

    • METIS-106335

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