Reconstruction of Objects from Their Averaged Finite Crystal Diffraction Intensity

J. P.J. Chen, K. E. Schmidt, R. A. Kirian, J. J. Donatelli

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

Abstract

We outline an image reconstruction algorithm that is capable of reconstructing an object from the averaged Fourier intensity of finite crystals of that object with arbitrary lattice occupancies. The algorithm is tested via simulations where the 3-dimensional electron density of a protein molecule is successfully reconstructed from such intensity measurements.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
PublisherIEEE Computer Society
Pages1148-1152
Number of pages5
ISBN (Electronic)9781538662496
DOIs
StatePublished - Sep 2019
Event26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan, Province of China
Duration: Sep 22 2019Sep 25 2019

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2019-September
ISSN (Print)1522-4880

Conference

Conference26th IEEE International Conference on Image Processing, ICIP 2019
CountryTaiwan, Province of China
CityTaipei
Period9/22/199/25/19

Keywords

  • Computational imaging
  • Constraint satisfaction problems
  • Crystallography
  • Iterative projection algorithms
  • Phase retrieval

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Chen, J. P. J., Schmidt, K. E., Kirian, R. A., & Donatelli, J. J. (2019). Reconstruction of Objects from Their Averaged Finite Crystal Diffraction Intensity. In 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (pp. 1148-1152). [8804468] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2019.8804468