Results 61 to 70 of about 9,480,081 (415)

The VOICE Survey : VST Optical Imaging of the CDFS and ES1 Fields [PDF]

, 2016
Indexación: Scopus.We present the VST Optical Imaging of the CDFS and ES1 Fields (VOICE) Survey, a VST INAF Guaranteed Time program designed to provide optical coverage of two 4 deg2 cosmic windows in the Southern hemisphere.
Botticella, M.T., Brescia, M., Capaccioli, M., Cappellaro, E., Covone, G., De Cicco, D., Falocco, S., Grado, A., Limatola, L., Longo, G., Marchetti, L., Napolitano, N., Paolillo, M., Pignata, G., Radovich, M., S., Cavuoti, Schipani, P., Vaccari, M.   +17 more
core   +3 more sources

On the Nature of Optical Images [PDF]

Physical Review (Series I), 1907
n ...
openaire   +2 more sources

Reflective imaging improves spatiotemporal resolution and collection efficiency in light sheet microscopy

Nature Communications, 2017
Light-sheet fluorescence microscopy enables high resolution imaging of biological samples. Here the authors use reflective coverslips to obtain multiple sample views simultaneously, improving the speed of acquisition and resolution compared to dual-view ...
Yicong Wu, Abhishek Kumar, Corey Smith, Evan Ardiel, Panagiotis Chandris, Ryan Christensen, Ivan Rey-Suarez, Min Guo, Harshad D. Vishwasrao, Jiji Chen, Jianyong Tang, Arpita Upadhyaya, Patrick J. La Riviere, Hari Shroff   +13 more
doaj   +1 more source

Overview of Liquid Crystal Biosensors: From Basic Theory to Advanced Applications

Biosensors, 2022
Liquid crystals (LCs), as the remarkable optical materials possessing stimuli-responsive property and optical modulation property simultaneously, have been utilized to fabricate a wide variety of optical devices.
Ruixiang Qu, Guoqiang Li
doaj   +1 more source

Review of structured light in diffuse optical imaging

Journal of Biomedical Optics, 2018
. Diffuse optical imaging probes deep living tissue enabling structural, functional, metabolic, and molecular imaging. Recently, due to the availability of spatial light modulators, wide-field quantitative diffuse optical techniques have been implemented,
Joseph P. Angelo, Sez-Jade Chen, M. Ochoa, U. Sunar, S. Gioux, X. Intes   +5 more
semanticscholar   +1 more source

Transmission of natural scene images through a multimode fibre [PDF]

, 2019
The optical transport of images through a multimode fibre remains an outstanding challenge with applications ranging from optical communications to neuro-imaging.
Caramazza, Piergiorgio, Faccio, Daniele, Moran, Oisín, Murray-Smith, Roderick   +3 more
core   +3 more sources

Metasurfaces for biomedical applications: imaging and sensing from a nanophotonics perspective

Nanophotonics, 2020
Metasurface is a recently developed nanophotonics concept to manipulate the properties of light by replacing conventional bulky optical components with ultrathin (more than 104 times thinner) flat optical components.
Zhang Shuyan, Wong Chi Lok, Zeng Shuwen, Bi Renzhe, Tai Kolvyn, Dholakia Kishan, Olivo Malini   +6 more
doaj   +1 more source

Design of athermalized mounting structure for the sub-aperture primary mirror of a synthetic aperture telescope

Advances in Mechanical Engineering, 2022
The imaging quality of the synthetic aperture system is sensitive to the positioning accuracy of the sub-aperture primary mirror. A novel flexible mounting structure of bimetallic material is proposed for the athermalization of the sub-aperture primary ...
Yunfeng Li, Zongxuan Li, Qiang Yong, Tiancong Wang, Defu Zhang   +4 more
doaj   +1 more source

Fiber-Based Techniques to Suppress Stimulated Brillouin Scattering

Photonics, 2023
Stimulated Brillouin scattering (SBS) is the major factor that limits the maximum optical fiber output power in narrow linewidth applications, which include important fields such as passive optical networks (PONs), high-power fiber amplifiers, and lasers.
Bin Huang, Jiaqi Wang, Xiaopeng Shao
doaj   +1 more source

Classification of optics-free images with deep neural networks [PDF]

arXiv, 2020
The thinnest possible camera is achieved by removing all optics, leaving only the image sensor. We train deep neural networks to perform multi-class detection and binary classification (with accuracy of 92%) on optics-free images without the need for anthropocentric image reconstructions.
arxiv