ADP: Automatic differentiation ptychography

Sushobhan Ghosh, Youssef S.G. Nashed, Oliver Strides Cossairt, Aggelos K Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Ptychography is an imaging technique which aims to recover the complex-valued exit wavefront of an object from a set of its diffraction pattern magnitudes. Ptychography is one of the most popular techniques for sub-30 nanometer imaging as it does not suffer from the limitations of typical lens based imaging techniques. The object can be reconstructed from the captured diffraction patterns using iterative phase retrieval algorithms. Over time many algorithms have been proposed for iterative reconstruction of the object based on manually derived update rules. In this paper, we adapt automatic differentiation framework to solve practical and complex ptychographic phase retrieval problems and demonstrate its advantages in terms of speed, accuracy, adaptability and generalizability across different scanning techniques.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Computational Photography, ICCP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-10
Number of pages10
ISBN (Electronic)9781538625262
DOIs
StatePublished - May 29 2018
Event2018 IEEE International Conference on Computational Photography, ICCP 2018 - Pittsburgh, United States
Duration: May 4 2018May 6 2018

Publication series

NameIEEE International Conference on Computational Photography, ICCP 2018

Other

Other2018 IEEE International Conference on Computational Photography, ICCP 2018
CountryUnited States
CityPittsburgh
Period5/4/185/6/18

ASJC Scopus subject areas

  • Signal Processing
  • Computational Mathematics
  • Atomic and Molecular Physics, and Optics

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    Ghosh, S., Nashed, Y. S. G., Cossairt, O. S., & Katsaggelos, A. K. (2018). ADP: Automatic differentiation ptychography. In IEEE International Conference on Computational Photography, ICCP 2018 (pp. 1-10). (IEEE International Conference on Computational Photography, ICCP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPHOT.2018.8368470