Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Coherence and sampling requirements for diffractive imaging.

J C H Spence1, U Weierstall, M Howells

  • 1Department of Physics and Astronomy, Arizona State University, Tempe, AZ 85287-1505, USA. spence@asu.edu

Ultramicroscopy
|September 29, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An open and lite technoeconomic dataset and assumptions for open energy, emissions and mitigation modeling in the Republic of South Africa.

Data in brief·2024
Same author

Techno-economic data and assumptions for open energy modelling of decarbonisation pathways in the Philippines.

Data in brief·2024
Same author

Technoeconomic data and assumptions for long-term energy systems modelling in Indonesia.

Data in brief·2024
Same author

Assessing the role of low-emission hydrogen: A techno-economic database for hydrogen pathways modelling.

Data in brief·2023
Same author

A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy.

Ultramicroscopy·2021
Same author

Quantitative agreement between dynamical rocking curves in ultrafast electron diffraction for x-ray lasers.

Ultramicroscopy·2021
Same journal

Predictive drift compensation of multi-frame STEM via live scan modification.

Ultramicroscopy·2026
Same journal

Deep PACBED: Multitask analysis of PACBED images using deep neural networks.

Ultramicroscopy·2026
Same journal

Guided progressive reconstructive imaging: A new quantization-based framework for low-dose, high-throughput and real-time analytical ptychography.

Ultramicroscopy·2026
Same journal

Brightness optimization in a 200 keV DTEM source by geometry-driven aberration suppression.

Ultramicroscopy·2026
Same journal

Characterization of the Timepix4 hybrid pixel detector and its impact on four-dimensional scanning transmission electron microscopy (4D-STEM).

Ultramicroscopy·2026
Same journal

Contamination analysis of the residual gas composition in transmission electron microscopy.

Ultramicroscopy·2026
See all related articles

Coherent Diffractive Imaging (CDI) requires specific beam coherence and detector pixel counts for accurate nanostructure imaging. These parameters ensure sufficient data for reconstructing images from diffraction patterns.

Area of Science:

  • Physics
  • Materials Science
  • Nanotechnology

Background:

  • Coherent Diffractive Imaging (CDI) reconstructs images from diffraction patterns.
  • It solves the phase problem for isolated nanostructures.

Purpose of the Study:

  • Determine optimal sampling conditions for CDI.
  • Relate sampling requirements to beam properties and detector design.

Main Methods:

  • Analysis of Shannon sampling criteria in CDI.
  • Relating sampling to object dimensions, beam coherence, and detector pixel count.
  • Connecting CDI sampling to Bragg scattering and Young's fringes.

Main Results:

  • CDI requires coherence width ~2x object's lateral dimensions.

Related Experiment Videos

  • Detector pixel count dictates required beam energy spread.
  • Sampling is consistent with Bragg scattering and Young's fringe sampling.

    • Conclusions:

    • Provides guidelines for designing CDI diffraction cameras.
    • Informs experimental design for femtosecond X-ray diffraction from single proteins.