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Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
Published on: January 28, 2019
Phase retrieval in x-ray lensless holography by reference beam tuning
Diling Zhu1, Benny Wu, Ramon Rick
1Department of Applied Physics, Stanford University, Via Pueblo Mall, Stanford, California 94305, USA. dlzhu@stanford.edu
Optics Letters
|September 3, 2009
Summary
This study introduces a novel phase retrieval algorithm for coherent imaging. The method accurately reconstructs object details by using a reference scatterer, achieving high-resolution imaging without needing precisely defined references.
Area of Science:
- Coherent imaging
- Phase retrieval algorithms
- Soft X-ray microscopy
Background:
- Phase retrieval is crucial for reconstructing images in coherent imaging techniques.
- Traditional methods often require well-defined reference structures, limiting their applicability.
- Uniqueness and convergence issues can hinder the accuracy of phase retrieval.
Purpose of the Study:
- To develop a robust phase retrieval algorithm that does not rely on precisely defined reference structures.
- To enable accurate determination of the relative phase between an object and a reference scatterer.
- To improve the speed and reliability of image reconstruction in coherent imaging.
Main Methods:
- A reference-guided phase retrieval algorithm was developed, utilizing the relative phase as a constraint.
- The algorithm iteratively reconstructs both the object and the reference simultaneously.
- The method was demonstrated using a soft X-ray coherent imaging experiment with a switchable micrometer-sized reference structure.
Main Results:
- The algorithm successfully determined the relative phase by tuning the reference wave's intensity and phase.
- Rapid and reliable convergence was achieved, overcoming the uniqueness problem inherent in phase retrieval.
- A high-resolution object image, with resolution near the 21 nm pixel size, was obtained.
Conclusions:
- The proposed reference-guided phase retrieval algorithm offers a versatile and effective approach for high-resolution imaging.
- This method eliminates the need for precisely defined reference structures, broadening its potential applications.
- The demonstrated soft X-ray imaging experiment validates the algorithm's performance and resolution capabilities.

