Results 31 to 40 of about 3,571 (136)
Beam wavefront retrieval by convoluted spatial spectral benchmark
We propose a method for retrieving a beam wavefront from its near-field intensity distribution after a 4f system by simply inserting a benchmark at the Fourier plane.
Xuewei Deng +5 more
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Adaptive Optics Methods to Rat Eye Properties: Impact of Pupil Diameter on Wavefront Detection
Achieving a high-quality wavefront sensing light spot and accurate wavefront estimation of the rat eye is still challenging due to its large ocular aberrations and the back reflections from fundus multilayer.
Wen Kong +3 more
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We describe a sequential operation approach for a three-sided pyramid wavefront sensor (PWFS) based on a micromirror array with hexagonal geometry. The geometrical optics analysis and numerical simulations show that a linear relationship exists between ...
Lu Chen +6 more
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Integrated Wavefront Sensing and Processing Method Utilizing Optical Neural Network
Wavefront sensors and processors are vital components of adaptive optical (AO) systems, directly impacting the operating bandwidth. As application scenarios become increasingly complex, AO systems are confronted with more extreme atmospheric turbulence ...
Gang Luo +5 more
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Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks
Wavefront sensing is an essential technique in optical imaging, adaptive optics, and atmospheric turbulence correction. Traditional wavefront reconstruction methods, including the Gerchberg–Saxton (GS) algorithm and phase diversity (PD) techniques, are ...
Hangning Kou +6 more
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Interferometric Wavefront Sensing System Based on Deep Learning
At present, most wavefront sensing methods analyze the wavefront aberration from light intensity images taken in dark environments. However, in general conditions, these methods are limited due to the interference of various external light sources.
Yuhao Niu +4 more
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Training networks without wavefront label for pixel-based wavefront sensing
Traditional image-based wavefront sensing often faces challenges in efficiency and stagnation. Deep learning methods, when properly trained, offer superior robustness and performance.
Yuxuan Liu +14 more
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Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach
Phase diversity wavefront sensing (PDWS) is a model-based wavefront estimation technique that avoids additional optical components, making it suitable for resource-constrained environments.
Yangchen Wang, Ming Wen, Hongcai Ma
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Accounting for Polychromatic Light in Virtual Shack-Hartmann Wavefront Sensing
Virtual Shack-Hartmann wavefront sensing (vSHWS) has some significant advantages and is promising for aberration measurement in the field of biomedical optical imaging.
Xian Yue +5 more
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Binary Amplitude Reflection Gratings for X-ray Shearing and Hartmann Wavefront Sensors
New, high-coherent-flux X-ray beamlines at synchrotron and free-electron laser light sources rely on wavefront sensors to achieve and maintain optimal alignment under dynamic operating conditions. This includes feedback to adaptive X-ray optics.
Kenneth A. Goldberg +2 more
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