Article
Chemistry, Analytical
Dmitry Savelyev, Nikolay Kazanskiy
Summary: This paper investigates the diffraction of vortex Gaussian laser beams by elementary objects of micro-optics to recognize the type of polarization of the input radiation. It models light propagation through proposed micro-defects and shows the possibility of recognizing surface micro-defects and all types of polarization. The focusing properties of micro-defects are compared with diffractive axicons and sub-wavelength focusing is demonstrated through element height change.
Article
Chemistry, Multidisciplinary
Boris Knyazev, Valery Cherkassky, Oleg Kameshkov
Summary: Transforming a Bessel beam through a lens creates a perfect vortex beam with single-ring cross-section and equal orbital angular momentum as the parent beam. Perfect vortex beams have various applications and the search for methods to produce beams approaching theoretical perfection is ongoing. Experimental and theoretical comparisons were made for evanescent field distributions near different dielectric layers, with recommendations for future experiments.
APPLIED SCIENCES-BASEL
(2021)
Article
Biophysics
Xuejia Hu, Jiaomeng Zhu, Qinghao Hu, Jingjing Zheng, Dongyong Yang, Fuling Zhou, Yanxiang Cheng, Yi Yang
Summary: This research presents liquid compound eyes that combine optofluidics and bionics, providing high-quality and low aberration imaging ability, as well as deformation-free zooming and flexible cell fluorescence sensing.
BIOSENSORS & BIOELECTRONICS
(2022)
Article
Computer Science, Cybernetics
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Summary: The unprecedented growth in video conferencing usage brings along multiple security and privacy threats. Protecting users' privacy is not always under their control, as posting meeting images can easily lead to the collection of personal data, including age, gender, and linkage with other meetings. In this study, we examined the privacy issues that virtual meeting participants may face. Through image processing, text recognition tools, and social network analysis, we extracted private information from publicly posted collage images of meeting participants. Our findings demonstrate that video conference users are vulnerable to prevalent security and privacy threats, with publicly available images allowing easy extraction of personal information such as face images, age, gender, usernames, and even full names. This type of data can greatly compromise people's security and privacy both online and offline, impacting not just adults but also more vulnerable groups like children and older adults. Furthermore, our study reveals the additional privacy risks participants may be unaware of when cross-referencing facial image data with social network data, as well as the potential for malicious aggregation of information about targeted individuals from multiple video conference meetings.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Chemistry, Analytical
Gaurav Awasthi, Pawan Kumar
Summary: In this study, three luminescent Al MOFs were synthesized using common metal ions and different carboxylic acid organic linkers. The structural and optical properties of the materials were analyzed, and it was found that the selection of organic linker and solvent plays a critical role in MOF-based sensing applications.
ANALYTICAL METHODS
(2022)
Article
Optics
Minjia Zheng, Lei Shi, Jian Zi
Summary: Increasing the spatial complexity of a diffractive deep neural network is a common method to achieve better performance. However, the development of deeper diffractive neural networks is limited by the physical laws of optical diffraction. This work proposes controlling the Fresnel number to enhance the network's expression capability, with even lower spatial complexity. An experimental implementation of a single-layer DNN with phase modulation achieves a maximum accuracy of 97.08% in handwritten digits recognition.
PHOTONICS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Yuhang Li, Yi Luo, Bijie Bai, Aydogan Ozcan
Summary: Imaging through diffusive media is a challenging problem that typically requires digital computers for image reconstruction. In this study, we propose an alternative method using diffractive neural networks to see through random, unknown phase diffusers. Through detailed analysis, we observed a trade-off between image reconstruction fidelity and distortion reduction capability of the diffractive network. We also discovered that training the network with a variety of random diffusers and introducing misalignments improved its generalization performance.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Summary: In state-of-the-art deep single-label classification models, top-k accuracy is usually higher than top-1 accuracy, especially in fine-grained datasets. Exploiting the information provided in the top k predicted classes boosts the final prediction of a model. Guided Zoom proposes a novel way of using explainability to improve model performance.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Yahya Mohtashami, Ryan A. DeCrescent, Larry K. Heki, Prasad P. Iyer, Nikita A. Butakov, Matthew S. Wong, Abdullah Alhassan, William J. Mitchell, Shuji Nakamura, Steven P. DenBaars, Jon A. Schuller
Summary: The study demonstrates two-dimensional metasurface axicons and lenses that emit collimated and focused beams, predicting photoluminescence properties using engineered incident light sources. Comparison of collimating and focusing performances across different light-emitting metasurface axicons and lenses is conducted, showing potential for future development of light sources with arbitrary functionalities.
NATURE COMMUNICATIONS
(2021)
Article
Astronomy & Astrophysics
J. E. Plowman, D. M. Hassler, F. Auchere, R. Aznar Cuadrado, A. Fludra, S. Mandal, H. Peter
Summary: This paper presents a new method for removing PSF artifacts and improving the resolution of multidimensional data sources using sparse matrix solvers. The method is not only applicable to spatially varying PSFs, but also to observations from instruments with different spatial, spectral, or thermal response functions.
ASTRONOMY & ASTROPHYSICS
(2023)
Article
Engineering, Aerospace
Xiangtian Zhao, M. Reza Emami, Shijie Zhang
Summary: This paper presents a new image-based control scheme for spacecraft rendezvous and synchronization with an uncooperative tumbling target, which is proven to be effective in stability and robustness. By conducting simulation studies and comparative analysis with traditional control schemes, the proposed control scheme has been validated for its performance and accuracy.
Article
Computer Science, Information Systems
Pavel Kovar, Pavel Puricer, Eric Benton, Jan Mikes
Summary: The goal of this paper is to demonstrate the capability of a 1U CubeSat in studying radiation spectra in LEO. The Lucky-7 mission successfully tested electronics and verified their cooperation and measurement procedure. However, the low capacity of the UHF communication system slowed down data transmission.
Article
Chemistry, Multidisciplinary
Kai Liu, Xiao Yu, Yongsen Xu, Yulei Xu, Yuan Yao, Nan Di, Yefei Wang, Hao Wang, Honghai Shen
Summary: This paper presents a solution to the image quality degradation issue of diffractive optical elements (DOEs) in bandwidth-spectral imaging. By establishing an image quality degradation model, a computational imaging system based on the DDZMR network is designed to restore and super-resolve degraded images. Experimental results demonstrate that the system can correct optical chromatic aberration and improve image resolution.
APPLIED SCIENCES-BASEL
(2022)
Article
Instruments & Instrumentation
G. G. Scott, D. A. Mariscal, D. Canning, R. F. Heeter, M. Krieger, R. J. Wallace, C. McGuffey, J. L. Peebles, R. A. Simpson, C. Stoeckl, T. Ma
Summary: The study developed a plasma mirror platform for the OMEGA-EP facility to redirect beams and improve laser contrast, providing more flexible experimental configurations for future experiments. By utilizing the secondary sources generated by the plasma mirror reflected short pulse beams, key performance metrics were inferred, demonstrating the potential of plasma mirror adoption in short pulse particle acceleration and high energy photon generation experiments.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2022)
Article
Physics, Multidisciplinary
Lin Zou, Zhiying Zhang, Haitao Yu, Zhi Zhong, Mingguang Shan, Lei Liu
Summary: A camouflaged cryptosystem based on optical diffractive imaging is proposed, which encodes a camouflaged image into an intensity image and a secret image into generated phase masks. The fake ciphertext and random phase masks are transmitted through a common channel, while the generated phase masks are transmitted through a private channel. Only authorized receivers with the fake ciphertext and generated phase masks can retrieve the secret image.
Article
Instruments & Instrumentation
C. Ketchazo, T. Viale, O. Boulade, G. Druart, V. Moreau, L. Mugnier, D. Dubrueil, S. Derelle, S. Ronayette, N. Guerineau, M. Berthe
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
(2015)
Article
Optics
Armande Pola Fossi, Yann Ferrec, Nicolas Roux, Oscar D'Almeida, Nicolas Guerineau, Herve Sauer
Article
Optics
Florence de la Barriere, Guillaume Druart, Nicolas Guerineau, Frederic Champagnat, Aurelien Plyer, Gilles Lasfargues, Serge Magli
Article
Optics
Tatiana Grulois, Guillaume Druart, Nicolas Guerineau, Arnaud Crastes, Herve Sauer, Pierre Chavel
Proceedings Paper
Engineering, Electrical & Electronic
Armande Pola Fossi, Yann Ferrec, Christophe Coudrain, Nicolas Roux, Emmanuel Kling, Nicolas Guerineau
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXII
(2016)
Proceedings Paper
Optics
C. Plantet, T. Fusco, N. Guerineau, S. Derelle, C. Robert
ADAPTIVE OPTICS SYSTEMS V
(2016)
Proceedings Paper
Optics
Guillaume Druart, Sebastien Verdet, Nicolas Guerineau, Serge Magli, Mathieu Chambon, Tatiana Grulois, Noura Matallah
ADVANCED OPTICS FOR DEFENSE APPLICATIONS: UV THROUGH LWIR
(2016)
Proceedings Paper
Engineering, Electrical & Electronic
Armande Pola Fossi, Yann Ferrec, Roland Domel, Christophe Coudrain, Nicolas Guerineau, Nicolas Roux, Oscar D'Almeida, Marc Bousquet, Emmanuel Kling, Herve Sauer
ELECTRO-OPTICAL REMOTE SENSING, PHOTONIC TECHNOLOGIES, AND APPLICATIONS IX
(2015)
Article
Optics
Tatiana Grulois, Guillaume Druart, Herve Sauer, Mathieu Chambon, Nicolas Guerineau, Serge Magli, Gillles Lasfargues, Pierre Chavel
Proceedings Paper
Engineering, Electrical & Electronic
F. de la Barriere, G. Druart, N. Guerineau, M. Chambon, A. Plyer, G. Lasfargues, E. de Borniol, S. Magli
INFRARED TECHNOLOGY AND APPLICATIONS XLI
(2015)
Proceedings Paper
Optics
N. Guerineau, S. Rommeluere, Y. Ferrec, G. Druart, G. Lasfargues, E. de Borniol, S. Magli
NEXT-GENERATION SPECTROSCOPIC TECHNOLOGIES VIII
(2015)
Proceedings Paper
Astronomy & Astrophysics
C. Ketchazo, T. Viale, O. Boulade, G. Druart, V. Moreau, L. Mugnier, D. Dubreuil, S. Derelle, S. Ronayette, N. Guerineau, M. Berthe
HIGH ENERGY, OPTICAL, AND INFRARED DETECTORS FOR ASTRONOMY VI
(2014)
Proceedings Paper
Engineering, Electrical & Electronic
Y. Reibel, N. Pere-Laperne, T. Augey, L. Rubaldo, G. Decaens, M. L. Bourqui, A. Manissadjian, D. Billon-Lanfrey, S. Bisotto, O. Gravrand, G. Destefanis, G. Druart, N. Guerineau
INFRARED TECHNOLOGY AND APPLICATIONS XL
(2014)
Proceedings Paper
Optics
Tatiana Grulois, Guillaume Druart, Nicolas Guerineau, Arnaud Crastes, Herve Sauer, Pierre Chavel
CURRENT DEVELOPMENTS IN LENS DESIGN AND OPTICAL ENGINEERING XV
(2014)
Proceedings Paper
Engineering, Electrical & Electronic
Guillaume Druart, Noura Matallah, Nicolas Guerineau, Serge Magli, Mathieu Chambon, Pierre Jenouvrier, Eric Mallet, Yann Reibel
INFRARED TECHNOLOGY AND APPLICATIONS XL
(2014)
