Ptychography is a coherent diffractive imaging method whereby a beam is scanned across an object and diffraction patterns are recorded. It allows for imaging of nanometer scale objects. Algorithms which perform ptychographic reconstruction typically assume that the object being imaged is within the depth of focus which limits the resolution for very fine scales. We present a first-order algorithm for reconstructing three-dimensional images of objects which don't fit in the depth of focus.

This presentation is part of Minisymposium “MS55 - Advances of regularization techniques in iterative reconstruction (2 parts)”
organized by: Zichao (Wendy) Di (Argonne National Lab) , Marc Aurèle Gilles (Cornell University) .

Authors:

Marc Aurèle Gilles (Cornell University)

Keywords:

computed tomography, image reconstruction, inverse problems, nonlinear optimization