Results 161 to 170 of about 2,071,972 (337)

A pupil-plane LGS wavefront sensor for the next-generation telescopes: the Ingot WFS

, 2023
Elisa Portaluri, Kalyan Radhakrishnan, Roberto Ragazzoni, Davide Greggio, Carmelo Arcidiacono, Maria Bergomi, Simone Di Filippo, Marco Dima, Jacopo Farinato, Tânia Sofia Gomes Machado, Demetrio Magrin, Valentina Viotto   +11 more
openalex   +2 more sources

Mathematical modeling predicts novel mechanisms of stream confinement from Trail/Colec12/Dan in the collective migration of cranial neural crest cells

Developmental Dynamics, EarlyView.
Abstract Background In vertebrate embryogenesis, cranial neural crest cells (CNCCs) migrate along discrete pathways. Analyses in the chick have identified key molecular candidates for the confinement of CNCC migration to stereotypical pathways as Colec12, Trail, and Dan.
Samuel W. S. Johnson, Paul M. Kulesa, Ruth E. Baker, Philip K. Maini   +3 more
wiley   +1 more source

Experimental Research on the Correction of Vortex Light Wavefront Distortion

Photonics
Wavefront distortion occurs when vortex beams are transmitted in the atmosphere. The turbulence effect greatly affects the transmission of information, so it is necessary to use adaptive optical correction technology to correct the wavefront distortion ...
Yahang Ge, Xizheng Ke
doaj   +1 more source

Assessing Effects of Riboflavin/UV‐A Cross‐Linking on Aqueous Outflow Facility, Corneal Biomechanics and Their Association With Intraocular Pressure

Journal of Biophotonics, EarlyView.
Our study demonstrates that UV cross‐linking (CXL) reduces outflow facility while increasing corneal elasticity across IOP levels of 20–40 mmHg, measured using direct manometry and non‐contact optical coherence elastography. These results highlight both parameters as potential indicators for evaluating CXL effectiveness and monitoring keratoconus ...
Yilong Zhang, Zhengshuyi Feng, Xingyu Jiang, Robert Scott, Ying Yang, Chunhui Li, Zhihong Huang   +6 more
wiley   +1 more source

INGOT Wavefront Sensor: Simulation of Pupil Images [PDF]

, 2020
Valentina Viotto, Elisa Portaluri, Carmelo Arcidiacono, Maria Bergomi, Simone Di Filippo, Davide Greggio, Kalyan Radhakrishnan, Marco Dima, Jacopo Farinato, Demetrio Magrin, Luca Marafatto, Roberto Ragazzoni   +11 more
openalex   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Preliminary performance results of the Weighted Fourier Phase Slope centroiding method for Shack-Hartmann wavefront sensors obtained with the OOMAO simulator [PDF]

, 2017
Haresh Chulani, Jose Manuel Rodríguez-Ramos   +1 more
openalex   +1 more source

Machine Learning applied to fiber-fed focal plane wavefront sensors: a proposal for a comprehensive study

, 2023
Benedetta Di Francesco, Gianluca Di Rico, Stefano Di Frischia, M. Dolci, Ivan Di Antonio   +4 more
openalex   +2 more sources

Nearly 180° Field‐of‐View Metalens for Miniaturized Imaging Systems

Laser &Photonics Reviews, EarlyView.
A compact, single‐layer metalens is developed with an ultra‐wide field of view of ≈180 degrees. Utilizing a unique quadratic phase profile, this metalens overcomes traditional issues like axial and color dispersion. It operates across red, green, and blue wavelengths with non‐polarized light, promising enhanced imaging capabilities for integration into
Azhar Javed Satti, Eunji Lee, Isma Javed, Kyungtae Kim, Joohoon Kim, Muhammad Ashar Naveed, Muhammad Zubair, Qammer H. Abbasi, Muhammad Qasim Mehmood, Junsuk Rho   +9 more
wiley   +1 more source

Reinforcement Learning Enabled Nanophotonic Devices

Laser &Photonics Reviews, EarlyView.
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang, Junyeob Song, Minsuk Lee, Wenqi Zhu, Amit Agrawal   +4 more
wiley   +1 more source