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A computational framework for ptychographic reconstructions.

B Enders1, P Thibault2

  • 1Department of Physics & Institute of Medical Engineering, Technical University of Munich, 85747 Garching, Germany; Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley 94720, CA, USA.

Proceedings. Mathematical, Physical, and Engineering Sciences
|January 26, 2017
PubMed
Summary
This summary is machine-generated.

Ptypy is a new ptychography software framework that simplifies the creation of quantitative imaging algorithms for diverse X-ray microscopy instruments. This versatile tool enhances image resolution beyond scanning limits for synchrotron applications.

Keywords:
PythonX-raydiffractionmicroscopyphase retrievalptychography

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Area of Science:

  • X-ray microscopy
  • Coherent diffraction imaging
  • Quantitative phase imaging

Background:

  • Ptychography is an established X-ray microscopy technique utilizing scanning stages and pixelated detectors.
  • Ptychographic phasing algorithms reconstruct high-resolution quantitative images from coherent diffraction data.
  • Current algorithms are often instrument-specific, limiting user-friendliness and broad applicability.

Purpose of the Study:

  • To introduce Ptypy, a novel ptychography software framework designed for diverse instruments and use cases.
  • To provide a unified and user-friendly platform for developing and implementing ptychographic phasing algorithms.
  • To facilitate the creation of portable and concise algorithmic implementations across different experimental setups.

Main Methods:

  • Development of Ptypy as a software framework with a distinctive formalism for physical model abstraction.
  • Implementation of a layered design for enhanced portability and algorithmic conciseness.
  • Demonstration of software capabilities through reconstructions using visible light and X-ray data.

Main Results:

  • Ptypy offers a generalized framework for ptychographic algorithm development, adaptable to various instruments.
  • The software's formalism enables concise and readable algorithm implementations.
  • Successful reconstructions from both visible light and X-ray datasets validate the software's capabilities.

Conclusions:

  • Ptypy serves as a versatile and user-friendly framework for advancing ptychography research and applications.
  • The software's design promotes algorithm portability and simplifies the development process.
  • Ptypy is poised to enhance quantitative imaging across a wide range of synchrotron-based microscopy techniques.