Free log-likelihood as an unbiased metric for coherent diffraction imaging.

ABSTRACT: Coherent Diffraction Imaging (CDI), a technique where an object is reconstructed from a single (2D or 3D) diffraction pattern, recovers the lost diffraction phases without a priori knowledge of the extent (support) of the object. The uncertainty of the object support can lead to over-fitting and prevents an unambiguous metric evaluation of solutions. We propose to use a 'free' log-likelihood indicator, where a small percentage of points are masked from the reconstruction algorithms, as an unbiased metric to evaluate the validity of computed solutions, independent of the sample studied. We also show how a set of solutions can be analysed through an eigen-decomposition to yield a better estimate of the real object. Example analysis on experimental data is presented both for a test pattern da

SUBMITTER: Favre-Nicolin V 

PROVIDER: S-EPMC7021796 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature