We report the experimental demonstration of an optical differentiation wavefront sensor (ODWS) based on binary pixelated linear and nonlinear amplitude filtering in the far-field. We trained and tested a convolutional neural network that reconstructs the spatial phase map from nonlinear-filter-based ODWS data for which an analytic reconstruction algorithm is not available. It shows accurate zonal retrieval over different magnitudes of wavefronts and on randomly shaped wavefronts. This work paves the way for the implementation of simultaneously sensitive, high dynamic range, and high-resolution wavefront sensing.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OL.530559 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Review and experimental comparison of speckle-tracking algorithms for X-ray phase contrast imaging.
J Synchrotron Radiat
January 2025
Univ. Grenoble Alpes, INSERM, UA7 STROBE, Grenoble, France.
X-ray speckles have been used in a wide range of experiments, including imaging (and tomography), wavefront sensing, spatial coherence measurements, X-ray photon correlation spectroscopy and ptychography. In this review and experimental comparison, we focus on using X-ray near-field speckle grains as wavefront markers and numerical methods for retrieving the phase information they contain. We present the most common tracking methods, introducing the existing algorithms with their specifications and comparing their performances under various experimental conditions.
View Article and Find Full Text PDFDynamic nonlocal metasurface for multifunctional integration via phase-change materials.
Nanophotonics
November 2024
National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu 610209, China.
Non-local metasurface supporting geometric phases at bound states in the continuum (BIC) simultaneously enables sharp spectral resonances and spatial wavefront shaping, thus providing a diversified optical platform for multifunctional devices. However, a static nonlocal metasurface cannot manipulate multiple degrees of freedom (DOFs), making it difficult to achieve multifunctional integration and be applied in different scenarios. Here, we presented and demonstrated phase-change non-local metasurfaces that can realize dynamic manipulation of multiple DOFs including resonant frequency, values, band, and spatial wavefront.
View Article and Find Full Text PDFThe Shack-Hartmann wavefront sensor (SHWS) is known for its high accuracy and robust wavefront sensing capabilities. However, conventional compact SHWS confronts limitations in measuring field-of-view to meet emerging applications' increasing demands. Here, we propose a high-density lens transfer function retrieval (HDLTR)-based SHWS to expand its field-of-view.
View Article and Find Full Text PDFAdvancing wavefront sensing: meta Shack-Hartmann sensor enhances phase imaging.
Light Sci Appl
December 2024
The State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Kowloon, Hong Kong, 999077, China.
Article Synopsis
- - A new wavefront sensor using a meta-lens array has been created, overcoming the size and curvature limitations of traditional micro-lenses.
- - This innovation leads to better sampling density and higher angular resolution for measuring wave phases.
- - The use of metasurfaces allows for improved characterization of complex wavefronts on a smaller scale, advancing optical phase measurement technology.
We present several nonlinear wavefront sensing techniques for few-mode sensors, all of which are empirically calibrated and agnostic to the choice of wavefront sensor. The first class of techniques involves a straightforward extension of the linear phase retrieval scheme to higher order; the resulting Taylor polynomial can then be solved using the method of successive approximations, though we discuss alternate methods such as homotopy continuation. In the second class of techniques, a model of the WFS intensity response is created using radial basis function interpolation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!