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 +5 more
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Compact way to generate guide star for wavefront sensing in Bessel two-photon microscopy [PDF]
Scientific ReportsWe 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 +5 more
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Experimental wavefront sensing techniques based on deep learning models using a Hartmann-Shack sensor for visual optics applications [PDF]
Scientific ReportsWavefront 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 +3 more
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Spexwavepy: an open-source Python package for X-ray wavefront sensing using speckle-based techniques [PDF]
Journal of Synchrotron RadiationIn 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 +2 more
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Surface Measurement Using Compressed Wavefront Sensing
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 +3 more
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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 ...
Esteban Vera +2 more
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Shack–Hartmann Wavefront Sensing Based on Four-Quadrant Binary Phase Modulation
Photonics, 2022 Aiming at the problem that it is difficult for the conventional Shack–Hartmann wavefront sensor to achieve high-precision wavefront reconstruction with low spatial sampling, a kind of Shack–Hartmann wavefront sensing technology based on four-quadrant ...
Mengmeng Zhao +7 more
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Training networks without wavefront label for pixel-based wavefront sensing
Frontiers in PhysicsTraditional 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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Single-shot hyperspectral wavefront imaging [PDF]
Nature CommunicationsSingle-shot hyperspectral wavefront sensing is essential for applications like spatio-spectral coupling metrology in high-power laser or fast material dispersion imaging.
Baptiste Blochet +4 more
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Wavefront sensing for objective assessment of vision therapy efficacy: Preliminary results [PDF]
EPJ Web of Conferences, 2023 The aim of this study was to use wavefront sensing to objectively evaluate the effects of vision therapy in subjects with insufficiency (AI) and infacility of accommodation (AINF). Aberrometry was performed with a Shack-Hartmann wavefront aberrometer for
Gomes Jessica +2 more
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