Compact way to generate guide star for wavefront sensing in Bessel two-photon microscopy [PDF]
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 +5 more
doaj +2 more sources
Optimization of Virtual Shack-Hartmann Wavefront Sensing [PDF]
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.
Xian Yue +5 more
doaj +2 more sources
Spexwavepy: an open-source Python package for X-ray wavefront sensing using speckle-based techniques [PDF]
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 +2 more
doaj +2 more sources
Experimental wavefront sensing techniques based on deep learning models using a Hartmann-Shack sensor for visual optics applications [PDF]
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 +3 more
doaj +2 more sources
Wavefront sensing reveals optical coherence [PDF]
Wavefront sensing is a set of techniques providing efficient means to ascertain the shape of an optical wavefront or its deviation from an ideal reference. Due to its wide dynamical range and high optical efficiency, the Shack-Hartmann is nowadays the most widely used of these sensors.
Stoklasa, B. +4 more
openaire +5 more sources
Construction and use of an adaptive optics two-photon microscope with direct wavefront sensing. [PDF]
Yao P +4 more
europepmc +2 more sources
Deep learning wavefront sensing method for Shack-Hartmann sensors with sparse sub-apertures.
In this letter, we proposed a deep learning wavefront sensing approach for the Shack-Hartmann sensors (SHWFS) to predict the wavefront from sub-aperture images without centroid calculation directly.
Yulong He +5 more
semanticscholar +3 more sources
Single-shot hyperspectral wavefront imaging [PDF]
Single-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
doaj +2 more sources
Improved Machine Learning Approach for Wavefront Sensing. [PDF]
In the adaptive optics (AO) system, to improve the effectiveness and accuracy of wavefront sensing-less technology, a phase-based sensing approach using machine learning is proposed. In contrast to the traditional gradient-based optimization methods, the
Guo H +6 more
europepmc +2 more sources
Deep residual learning for low-order wavefront sensing in high-contrast imaging systems.
Sensing and correction of low-order wavefront aberrations is critical for high-contrast astronomical imaging. State of the art coronagraph systems typically use image-based sensing methods that exploit the rejected on-axis light, such as Lyot-based low ...
Gregory Allan +4 more
semanticscholar +3 more sources

