Results 11 to 20 of about 6,501 (284)

Surface Measurement Using Compressed Wavefront Sensing [PDF]

Photonic Sensors, 2018
Compressed sensing leverages the sparsity of signals to reduce the amount of measurements required for its reconstruction. The Shack-Hartmann wavefront sensor meanwhile is a flexible sensor where its sensitivity and dynamic range can be adjusted based on
Eddy Mun Tik Chow, Ningqun Guo, Edwin Chong, Xin Wang   +3 more
doaj   +4 more sources

Wavefront sensing with a thin diffuser [PDF]

Optics Letters, 2017
We propose and implement a broadband, compact, and low-cost wavefront sensing scheme by simply placing a thin diffuser in the close vicinity of a camera. The local wavefront gradient is determined from the local translation of the speckle pattern. The translation vector map is computed thanks to a fast diffeomorphic image registration algorithm and ...
Berto, Pascal, Rigneault, Hervé, Guillon, Marc   +2 more
openaire   +4 more sources

Atmospheric Turbulence Aberration Correction Based on Deep Learning Wavefront Sensing [PDF]

Sensors, 2023
In this paper, research was conducted on Deep Learning Wavefront Sensing (DLWS) neural networks using simulated atmospheric turbulence datasets, and a novel DLWS was proposed based on attention mechanisms and Convolutional Neural Networks (CNNs).
Jiang You, Jingliang Gu, Yinglei Du, Min Wan, Chuanlin Xie, Zhenjiao Xiang   +5 more
doaj   +2 more sources

Compact way to generate guide star for wavefront sensing in Bessel two-photon microscopy [PDF]

Scientific Reports
We introduce a compact method for generating guide stars to enable direct wavefront sensing in Bessel two-photon microscopy. By sequentially modulating an axicon phase and a thin lens phase using a spatial light modulator (SLM), our approach achieves ...
Fanglin Luo, Nan Li, Chengliang Yang, Zenghui Peng, Quanquan Mu, Xingyun Zhang   +5 more
doaj   +2 more sources

Wavefront sensing with critical sampling [PDF]

Optics Letters, 2011
Different types of nonredundant sampling patterns are shown to guarantee completeness of the basis formed by the sampled partial derivatives of Zernike polynomials, commonly used to reconstruct the wavefront from its slopes (wavefront sensing). In the ideal noise-free case, this enables one to recover double the number of modes J than sampling points I
Navarro, Rafael, Arines Piferrer, Justo, Rivera, Ricardo   +2 more
openaire   +4 more sources

Experimental wavefront sensing techniques based on deep learning models using a Hartmann-Shack sensor for visual optics applications [PDF]

Scientific Reports
Wavefront sensing is essential in visual optics for evaluating the optical quality in systems, such as the human visual system, and understanding its impact on visual performance. Although traditional methods like the Hartmann-Shack wavefront sensor (HSS)
Juan Sebastián Ramírez-Quintero, Andres Osorno-Quiroz, Walter Torres-Sepúlveda, Alejandro Mira-Agudelo   +3 more
doaj   +2 more sources

Spexwavepy: an open-source Python package for X-ray wavefront sensing using speckle-based techniques [PDF]

Journal of Synchrotron Radiation
In situ wavefront sensing plays a critical role in the delivery of high-quality beams for X-ray experiments. X-ray speckle-based techniques stand out among other in situ techniques for their easy experimental setup and various data acquisition modes ...
Lingfei Hu, Hongchang Wang, Kawal Sawhney   +2 more
doaj   +2 more sources

Deep learning wavefront sensing

Optics Express, 2019
We present a new class of wavefront sensors by extending their design space based on machine learning. This approach simplifies both the optical hardware and image processing in wavefront sensing. We experimentally demonstrated a variety of image-based wavefront sensing architectures that can directly estimate Zernike coefficients of aberrated ...
Ryoichi Horisaki, Jun Tanida, Esteban Vera   +2 more
exaly   +3 more sources

Compressive wavefront sensing with weak values

Optics Express, 2014
We demonstrate a wavefront sensor based on the compressive sensing, single-pixel camera. Using a high-resolution spatial light modulator (SLM) as a variable waveplate, we weakly couple an optical field's transverse-position and polarization degrees of freedom.
Howland, Gregory A., Lum, Daniel J., Howell, John C.   +2 more
openaire   +6 more sources

Training networks without wavefront label for pixel-based wavefront sensing

Frontiers in Physics
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, Yuxuan Liu, Yuxuan Liu, Xiaoquan Bai, Xiaoquan Bai, Boqian Xu, Boqian Xu, Chunyue Zhang, Chunyue Zhang, Yan Gao, Yan Gao, Shuyan Xu, Shuyan Xu, Guohao Ju, Guohao Ju   +14 more
doaj   +3 more sources