Article
Optics
Nisan Siegel, Gary Brooker
Summary: This new super-resolution microscopy technique utilizes a simple and versatile approach to achieve better resolution than other complex methods after a single image capture. It can work with any objective power and numerical aperture, is easy to operate and maintain, and can create super-resolved images using any type or wavelength of light.
Article
Engineering, Electrical & Electronic
Qinnan Zhang, Jiaosheng Li
Summary: This paper proposes a phase-only optical image security technology using deep learning, which utilizes one-time pad for encryption and hiding, achieving real-time image encryption and high-quality decryption.
IEEE PHOTONICS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Jifeng Guo, Feicai Lv, Jiayou Shen, Jing Liu, Mingzhi Wang
Summary: This paper proposes an improved generative adversarial network to enhance the super-resolution reconstruction effect of medium- and low-resolution remote sensing images. By improving the network structure and loss function design, and effectively combining image information from three scales, this method achieves more realistic and reliable texture reconstruction.
IET IMAGE PROCESSING
(2023)
Article
Multidisciplinary Sciences
Danlin Xu, Zhengzhong Huang, Liangcai Cao
Summary: Digital holography provides quantitative measurement of complex field for wave-matter interactions. An advanced iterative phase retrieval framework incorporating adaptive constraints achieves optimized convergence behavior, high-fidelity and twin-image-free reconstruction. Flexible and versatile, it has promising applications in biomedicine, X-ray coherent diffractive imaging and wavefront sensing.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Yuanyuan Liu, Mengtao Yue, Han Yan, Lu Zhu
Summary: This study introduces a lightweight Transformer structure into convolutional neural networks for single-image super-resolution problems. The proposed model extracts both internal and external information of the image by using a dense block structure and residual connection to build a residual dense convolution block (RDCB). The lightweight transformer block (LTB) further extracts features and learns texture details between patches through the self-attention mechanism. The effectiveness of the proposed model is demonstrated through extensive evaluations on benchmark datasets.
IET IMAGE PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Guangping Li, Huanling Xiao, Dingkai Liang
Summary: In this paper, an enhanced dual branches network (EDBNet) is proposed for generating arbitrary-scale super-resolution (SR) images. A scale-guidance upsampling module (SGU) is designed to guide the convolution weights by adding scale factors and pixel-level features.
ELECTRONICS LETTERS
(2023)
Article
Engineering, Multidisciplinary
Fang Cheng, Hang Su, Changcai Cui, Qing Yu
Summary: To simultaneously measure motion errors for a topography measurement system, a 3-DoF motion error measurement system based on film interferometry is proposed. The system utilizes an optical flat as the moving unit and a prism group as the stationary sensing head. A horizontally incident laser beam generates an interferogram, which is captured by a camera and processed to obtain the motion errors. Experimental results show high measurement accuracy and repeatability.
Article
Multidisciplinary Sciences
Hyeonseung Yu, Youngrok Kim, Daeho Yang, Wontaek Seo, Yunhee Kim, Jong-Young Hong, Hoon Song, Geeyoung Sung, Younghun Sung, Sung-Wook Min, Hong-Seok Lee
Summary: Recent research has shown that holographic displays can generate photorealistic 3D holograms in real time. However, obtaining high-quality real-world holograms has been a challenge, limiting the development of holographic streaming systems. In this work, the authors develop a deep learning-based incoherent holographic camera system that can deliver visually enhanced holograms in real time. By applying a neural network to filter noise in captured holograms and integrating a holographic camera and display, they demonstrate a holographic streaming system.
NATURE COMMUNICATIONS
(2023)
Article
Optics
Pavel A. Cheremkhin, Ekaterina A. Kurbatova, Nikolay N. Evtikhiev, Vitaly V. Krasnov, Vladislav G. Rodin, Rostislav S. Starikov
Summary: A digital micromirror device (DMD) is capable of 2D- and 3D-scene reconstruction by displaying diffractive and holographic optical elements, with the highest frame rates achievable through binarization of these elements. Error diffusion is a commonly used implementation for hologram binarization, with various methods available for optically recorded off-axis digital hologram binarization.
Article
Optics
Anthony Berdeu, Thomas Olivier, Fabien Momey, Loic Denis, Frederic Pinston, Nicolas Faure, Corinne Fournier
Summary: In-line digital holography is a powerful tool for imaging absorbing and phase objects, but the holograms can be corrupted by background signals. By using two holograms of the same object at different locations, an inverse problems approach can be applied to estimate the sample's complex transmittance and the contribution of background interference. Experimental results with stained bacteria demonstrate improved reconstructions of the sample while considering the background contribution.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Jianfang Cao, Xiaohui Hu, Hongyan Cui, Yunchuan Liang, Zeyu Chen
Summary: This study proposes a super-resolution reconstruction method for fuzzy murals based on a generative adversarial network with self-attention. Experiments show that the proposed method achieves higher peak signal-to-noise ratio and structural similarity compared to other SR reconstruction algorithms. Subjective evaluation also indicates that the method can better reconstruct the texture details of murals, meeting the visual perception needs of the public.
IET IMAGE PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Jianjun Lei, Zhe Zhang, Xiaoting Fan, Bolan Yang, Xinxin Li, Ying Chen, Qingming Huang
Summary: The proposed IMSSRnet utilizes complementary information between different views to enhance features, introduces gradient loss to preserve texture details, and develops disparity loss to constrain disparity relationship, achieving promising performance in stereoscopic image super-resolution.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
Article
Physics, Applied
Ashwini S. Galande, Vikas Thapa, Hanu Phani Ram Gurram, Renu John
Summary: Single-shot reconstruction of the inline hologram is achieved using the deep image prior (DIP) method integrated with the regularization by denoising (RED) approach. The use of alternating directions of multipliers method (ADMM) enables a robust single-shot phase recovery by combining DIP and RED. Experimental results demonstrate that sparsity-promoting denoisers outperform DIP in terms of phase signal-to-noise ratio (SNR), with the total variation denoiser being more suitable for hologram reconstruction.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Philjun Jeon, Jongwu Kim, Heejung Lee, Hyuk-Sang Kwon, Dug Young Kim
Summary: FINCH and SIM are two promising microscopy techniques for resolution enhancement. In this study, the combination of SIM and FINCH, known as SI-FINCH, was successfully applied to fluorescent microscopy, demonstrating resolution enhancements through comparisons of PSFs of different imaging systems.
Article
Optics
Jaromir Behal, Pasquale Memmolo, Lisa Miccio, Vittorio Bianco, Pietro Ferraro
Summary: Digital holography technology allows encoding complex information onto digital supports, with potential applications in automotive, video surveillance, and homeland security. Self-interference digital holography (SIDH) is investigated as a method for obtaining refocusable wavefronts using low-coherence light sources. A model is developed and analyzed to study the optical performance of SIDH, and a configuration for enhancing resolution is proposed. Experimental verification is conducted in the visible range, and a proof of concept SIDH imaging in the far infrared range is provided.
OPTICS AND LASER TECHNOLOGY
(2024)
Article
Chemistry, Physical
Jonathan M. Patete, Megan E. Scofield, Vyacheslav Volkov, Christopher Koenigsmann, Yiman Zhang, Amy C. Marschilok, Xiaoya Wang, Jianming Bai, Jinkyu Han, Lei Wang, Feng Wang, Yimei Zhu, Jason A. Graetz, Stanislaus S. Wong
Article
Chemistry, Physical
E. V. Makhonina, A. E. Meduedeva, V. S. Dubasoua, V. V. Volkou, Yu. A. Politov, I. L. Eremenko
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2016)
Article
Materials Science, Multidisciplinary
Alexander Zavrazhnov, Alexander Naumov, Andrew Kosyakov, Sergey Berezin, Vyacheslav Volkov, Anastasya Sergeeva
MATERIALS RESEARCH-IBERO-AMERICAN JOURNAL OF MATERIALS
(2018)
Article
Nanoscience & Nanotechnology
Reinaldo Santos-Ortiz, Vyacheslav Volkov, Stefan Schmid, Fang-Ling Kuo, Kim Kisslinger, Soumya Nag, Rajarshi Banerjee, Yimei Zhu, Nigel D. Shepherd
ACS APPLIED MATERIALS & INTERFACES
(2013)
Article
Chemistry, Multidisciplinary
Myung-Geun Han, Yimei Zhu, Lijun Wu, Toshihiro Aoki, Vyacheslav Volkov, Xueyun Wang, Seung Chul Chae, Yoon Seok Oh, Sang-Wook Cheong
ADVANCED MATERIALS
(2013)
Article
Chemistry, Physical
E. V. Makhonina, L. S. Maslennikova, V. V. Volkov, A. E. Medvedeva, A. M. Rumyantsev, Yu. M. Koshtyal, M. Yu. Maximov, V. S. Pervov, I. L. Eremenko
APPLIED SURFACE SCIENCE
(2019)
Article
Physics, Applied
Marvin A. Schofield, Jiaqing He, Vyacheslav V. Volkov, Yimei Zhu
JOURNAL OF APPLIED PHYSICS
(2012)
Article
Chemistry, Physical
Alex J. Krejci, Colin G. W. Thomas, Jyotirmoy Mandal, Isabel Gonzalo-Juan, Weidong He, Ryan L. Stillwell, Ju-Hyun Park, Dhiraj Prasai, Vyacheslav Volkov, Kirin I. Bolotin, James H. Dickerson
JOURNAL OF PHYSICAL CHEMISTRY B
(2013)
Article
Chemistry, Physical
Mark J. Polking, Myung-Geun Han, Amin Yourdkhani, Valeri Petkov, Christian F. Kisielowski, Vyacheslav V. Volkov, Yimei Zhu, Gabriel Caruntu, A. Paul Alivisatos, Ramamoorthy Ramesh
Article
Multidisciplinary Sciences
Yu-Chi Hsieh, Yu Zhang, Dong Su, Vyacheslav Volkov, Rui Si, Lijun Wu, Yimei Zhu, Wei An, Ping Liu, Ping He, Siyu Ye, Radoslav R. Adzic, Jia X. Wang
NATURE COMMUNICATIONS
(2013)
Article
Chemistry, Physical
Yu Zhang, Yu-Chi Hsieh, Vyacheslav Volkov, Dong Su, Wei An, Rui Si, Yimei Zhu, Ping Liu, Jia X. Wang, Radoslav R. Adzic
Article
Chemistry, Multidisciplinary
L. S. Pechen, E. Makhonina, A. M. Rumyantsev, Yu M. Koshtyal, V. V. Volkov, A. S. Goloveshkin, V. S. Pervov, I. L. Eremenko
RUSSIAN CHEMICAL BULLETIN
(2019)
Article
Chemistry, Multidisciplinary
E. Makhonina, L. S. Pechen, V. V. Volkov, A. M. Rumyantsev, Yu M. Koshtyal, A. O. Dmitrienko, Yu A. Politov, V. S. Pervov, I. L. Eremenko
RUSSIAN CHEMICAL BULLETIN
(2019)
Proceedings Paper
Materials Science, Multidisciplinary
L. S. Pechen, E. V. Makhonina, A. M. Rumyantsev, Yu M. Koshtyal, A. S. Goloveshkin, V. V. Volkov, Yu A. Politov, I. L. Eremenko
FOURTH INTERDISCIPLINARY SCIENTIFIC FORUM WITH INTERNATIONAL PARTICIPATION NEW MATERIALS AND PROMISING TECHNOLOGIES
(2019)
Article
Microscopy
C. Gao, C. Hofer, T. J. Pennycook
Summary: Ptychography provides high dose efficiency images that can reveal light elements next to heavy atoms. However, contrast reversals can occur when the projected potential becomes strong. Recent research has shown that these reversals can be counteracted by adapting the focus. This study explains why the best contrast is often found with the probe focused to the middle of the sample and highlights the importance of convergence angle in thin samples to remove contrast reversals.
Article
Microscopy
J. Lindner, U. Ross, T. Meyer, V. Boureau, M. Seibt, Ch. Jooss
Summary: Phase-shifting electron holography is an excellent method with high phase sensitivity to reveal electron wave phase information. An advanced drift correction scheme is proposed in this study, which exploits the interface of the TEM specimen and the vacuum area in the hologram. This method allows for obtaining reliable phase information.
Article
Microscopy
Ali Jaberi, Nicolas Brodusch, Jun Song, Raynald Gauvin
Summary: This study investigates knock-on damage in lithium-ion batteries (LIBs) by computing threshold displacement energies (TDEs) and performing Monte Carlo simulation. The results indicate that Li is most sensitive to knock-on damage at moderate electron energies, and TDE is the principal parameter for assessing Li sensitivity to knock-on damage across similar structures.
Article
Microscopy
Alexander Schroeder, Christopher Rathje, Leon van Velzen, Maurits Kelder, Sascha Schaefer
Summary: This study utilizes novel event-based electron detector platforms to extend the temporal resolution of electron microscopy. By training a neural network to predict electron arrival time, the researchers were able to improve the timing accuracy and achieve a promising solution for enhancing electron timing precision in various electron microscopy applications.
Article
Microscopy
Avi Auslender, Nivedita Pandey, Amit Kohn, Oswaldo Dieguez
Summary: This article describes a faster implementation based on DFT for computing the mean inner potential of crystals, providing quantum-mechanical calculations beyond the independent-atom approximation. The study also reveals the dependence of the mean inner potential on sample boundary conditions, mass density, and magnetic susceptibility, highlighting its correlation with various material properties.
Article
Microscopy
Zhidong Yang, Dawei Zang, Hongjia Li, Zhao Zhang, Fa Zhang, Renmin Han
Summary: In this work, we propose a self-supervised deep learning model for cryo-ET volumetric image denoising based on noise modeling and sparsity guidance. Experimental results demonstrate that our method can achieve reliable denoising by training on single noisy volume and outperform existing methods.
Article
Microscopy
J. Kuttruff, J. Holder, Y. Meng, P. Baum
Summary: In this study, a robust clustering algorithm is proposed that can find clusters in a continuous stream of raw data in real time. This algorithm converts pixel hits measured by hybrid pixel detectors to real single-electron events. By continuously comparing with previous hits, the algorithm efficiently identifies the merging of new and old events.
Article
Microscopy
D. G. Senturk, C. P. Yu, A. De Backer, S. Van Aert
Summary: This article presents a statistics-based method for accurately counting the number of atoms in nanostructures, especially for images acquired with low electron doses and multiple element structures.
Article
Microscopy
Mauricio J. Prieto, Lucas de Souza Caldas, Liviu C. Tanase, Thomas Schmidt, Oscar Rodriguez de la Fuente
Summary: This study presents a synchrotron-based investigation of the synthesis process of a magnetite/hematite bilayer. Ion bombardment gradually transforms hematite into magnetite, and the growth of magnetite leads to the formation of stable boundaries. These findings are significant for understanding novel oxide heterostructures.
Article
Microscopy
Emre Yoruk, Holger Klein, Stephanie Kodjikian
Summary: Beam sensitive nanomaterials pose challenges for crystallographic structure determination. A dose symmetric electron diffraction tomography (DS-EDT) method is developed to reduce beam damage and obtain complete data sets by merging individual datasets from multiple crystals.
Article
Microscopy
A. Pofelski, Y. Zhu, G. A. Botton
Summary: The precision and sensitivity of the GPA method for strain characterization is a widely discussed topic. This study introduces the concept of phase noise and analyzes the parameter of sampling to improve the precision of GPA. Experimental and theoretical results demonstrate that using a larger pixel spacing in STEM can enhance the precision and sensitivity of the GPA method.
Article
Microscopy
Sangjun Kang, Di Wang, Christian Kuebel, Xiaoke Mu
Summary: Transmission electron microscopy is a valuable tool for assessing strain fields within materials. However, using thin specimens in TEM analysis can affect atomic configuration and deformation structure.
