Using automatic differentiation as a general framework for ptychographic reconstruction

Saugat Kandel, S. Maddali, Marc Allain, Stephan O. Hruszkewycz, Chris Jacobsen, Youssef S.G. Nashed*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Coherent diffraction imaging methods enable imaging beyond lens-imposed resolution limits. In these methods, the object can be recovered by minimizing an error metric that quantifies the difference between diffraction patterns as observed, and those calculated from a present guess of the object. Efficient minimization methods require analytical calculation of the derivatives of the error metric, which is not always straightforward. This limits our ability to explore variations of basic imaging approaches. In this paper, we propose to substitute analytical derivative expressions with the automatic differentiation method, whereby we can achieve object reconstruction by specifying only the physics-based experimental forward model. We demonstrate the generality of the proposed method through straightforward object reconstruction for a variety of complex ptychographic experimental models.

Original languageEnglish (US)
Pages (from-to)18653-18672
Number of pages20
JournalOptics Express
Volume27
Issue number13
DOIs
StatePublished - 2019

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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