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

3 Citations (Scopus)

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

Fingerprint

Administrative data processing
adenosine diphosphate
Automatic Differentiation
imaging techniques
retrieval
diffraction patterns
Imaging techniques
Phase Retrieval
Diffraction patterns
Imaging
Diffraction
lenses
Wavefronts
scanning
Lenses
Adaptability
Wave Front
Scanning
Lens
Update

ASJC Scopus subject areas

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

Cite this

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
Ghosh, Sushobhan ; Nashed, Youssef S.G. ; Cossairt, Oliver Strides ; Katsaggelos, Aggelos K. / ADP : Automatic differentiation ptychography. IEEE International Conference on Computational Photography, ICCP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-10 (IEEE International Conference on Computational Photography, ICCP 2018).
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Ghosh, S, Nashed, YSG, Cossairt, OS & Katsaggelos, AK 2018, ADP: Automatic differentiation ptychography. in IEEE International Conference on Computational Photography, ICCP 2018. IEEE International Conference on Computational Photography, ICCP 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-10, 2018 IEEE International Conference on Computational Photography, ICCP 2018, Pittsburgh, United States, 5/4/18. https://doi.org/10.1109/ICCPHOT.2018.8368470

ADP : Automatic differentiation ptychography. / Ghosh, Sushobhan; Nashed, Youssef S.G.; Cossairt, Oliver Strides; Katsaggelos, Aggelos K.

IEEE International Conference on Computational Photography, ICCP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-10 (IEEE International Conference on Computational Photography, ICCP 2018).

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

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Ghosh S, Nashed YSG, Cossairt OS, Katsaggelos AK. ADP: Automatic differentiation ptychography. In IEEE International Conference on Computational Photography, ICCP 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-10. (IEEE International Conference on Computational Photography, ICCP 2018). https://doi.org/10.1109/ICCPHOT.2018.8368470