Results 11 to 20 of about 3,571 (136)

Fast High-Resolution Phase Diversity Wavefront Sensing with L-BFGS Algorithm. [PDF]

open access: yesSensors (Basel), 2023
The presence of manufacture error in large mirrors introduces high-order aberrations, which can severely influence the intensity distribution of point spread function.
Zhang H   +6 more
europepmc   +2 more sources

Research on Optical Metrology for Complex Optical Surfaces with Focal Plane Wavefront Sensing. [PDF]

open access: yesMicromachines (Basel), 2023
Complex optical elements have the advantages of improving image quality and optical performance and expanding the field of view. Therefore, it is widely used in X-ray scientific devices, adaptive optical elements, high-energy laser systems, and other ...
Ma X, Wang J, Wang B, Liu X, Chen Y.
europepmc   +2 more sources

Enhanced Neural Architecture for Real-Time Deep Learning Wavefront Sensing. [PDF]

open access: yesSensors (Basel)
To achieve real-time deep learning wavefront sensing (DLWFS) of dynamic random wavefront distortions induced by atmospheric turbulence, this study proposes an enhanced wavefront sensing neural network (WFSNet) based on convolutional neural networks (CNN).
Li J, Liu Q, Tan L, Ma J, Chen N.
europepmc   +2 more sources

Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms. [PDF]

open access: yesSensors (Basel), 2022
Phase retrieval wavefront sensing methods are now of importance for imaging quality maintenance of space telescopes. However, their accuracy is susceptible to line-of-sight jitter due to the micro-vibration of the platform, which changes the intensity ...
Guo L   +6 more
europepmc   +2 more sources

Research on Wavefront Sensing Applications Based on Photonic Lanterns. [PDF]

open access: yesSensors (Basel)
The Photonic Lantern (PL) is a novel fiber optic device emerging in wavefront sensing, which converts multimode fiber light fields into single-mode fields.
Zhao Z   +10 more
europepmc   +2 more sources

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

open access: yesSensors (Basel), 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).
You J   +5 more
europepmc   +2 more sources

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

open access: yesSci Rep
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 ...
Luo F   +5 more
europepmc   +2 more sources

Wavefront sensing for objective assessment of vision therapy efficacy: Preliminary results [PDF]

open access: yesEPJ 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
doaj   +1 more source

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

open access: yesSci Rep
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)
Ramírez-Quintero JS   +3 more
europepmc   +2 more sources

Optimization of Virtual Shack-Hartmann Wavefront Sensing. [PDF]

open access: yesSensors (Basel), 2021
Virtual Shack–Hartmann wavefront sensing (vSHWS) can flexibly adjust parameters to meet different requirements without changing the system, and it is a promising means for aberration measurement.
Yue X   +5 more
europepmc   +2 more sources

Home - About - Disclaimer - Privacy