Article
Optics
Xi Zhang, Zhongliang Li, Nan Nan, Xiangzhao Wang
Summary: The lateral resolution of the OR-PAM system can be improved by increasing the numerical aperture of optical focusing, but this also leads to smaller working distances and increased sensitivity to optical imperfections. This paper proposes a super-resolution reconstruction algorithm based on sparsity and deconvolution for OR-PAM images, which effectively combats the decrease in resolution by utilizing the sparsity of the image and employing the gradient accelerated Landweber iterative algorithm for deconvolution. Experimental results demonstrate that the proposed algorithm can improve the resolution of mouse retinal images by approximately 1.7 times without increasing the numerical aperture of the imaging system. Additionally, it outperforms the Richardson-Lucy algorithm in terms of image resolution and quality, providing a foundation for the clinical research development of OR-PAM.
Article
Materials Science, Multidisciplinary
K. A. Hunnestad, C. Hatzoglou, F. Vurpillot, I. -e. Nylund, Z. Yan, E. Bourret, A. T. J. van Helvoort, D. Meier
Summary: Atom probe tomography (APT) is a 3D analysis technique that provides precise chemical accuracy and sensitivity at sub-nanometer spatial resolution. The application of APT to complex oxides materials has attracted increasing interest due to its ability to reveal the relationship between local variations in chemical composition and emergent physical properties. In this study, APT measurements were performed on hexagonal manganite ErMnO3, and the effect of different experimental parameters on the measured composition and structure was systematically studied. The findings expand our knowledge about the impact of key experimental parameters and the field evaporation process in complex oxides.
MATERIALS CHARACTERIZATION
(2023)
Article
Biology
Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao
Summary: The study developed a deep learning-based CT super resolution method, SADIR-Net, which significantly improved CT imaging resolution without altering hardware or increasing radiation dose. The method showed superior imaging performance on physical and real phantoms compared to other state-of-the-art DL-based CT SR methods, demonstrating potential in enhancing CT resolution with limited training data or even no data at all.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Multidisciplinary Sciences
Eun-Yeong Park, Xiran Cai, Josquin Foiret, Hanna Bendjador, Dongwoon Hyun, Brett Z. Fite, Robert Wodnicki, Jeremy J. Dahl, Robert D. Boutin, Katherine W. Ferrara
Summary: Volumetric ultrasound imaging technology allows for operator-independent acquisition and improved field of view. This study demonstrates the implementation of nonlinear processing and distributed beamformation to achieve fast and high-resolution imaging over a large transducer aperture. The technology has wide applications across various areas, including musculoskeletal, liver, breast, and pediatric imaging, as well as image-guided therapy.
Article
Chemistry, Multidisciplinary
Young-Joo Kim, Jaekyung Lim, Do-Nyun Kim
Summary: A systematic method combining data acquisition and preparation with deep-learning-based image super-resolution is proposed for rapid and accurate AFM characterization, achieving around a tenfold reduction in imaging time without significant loss of accuracy. Through a transfer learning strategy, it can be efficiently customized for a specific target sample on demand.
Article
Chemistry, Multidisciplinary
Kunmo Koo, Jungjae Park, Sanghyeon Ji, Saltanat Toleukhanova, Jong Min Yuk
Summary: The recent development of liquid-phase transmission electron microscopy, especially the novel liquid-flowing graphene chip TEM (LFGC-TEM), shows great potential in providing atomic resolution imaging for colloidal nanoparticles and molecular-level information for unstained wet biomolecules and cells. The robustness and capability of LFGC-TEM could lead to breakthroughs in live imaging of biological phenomena that are not currently achievable with existing methods.
ADVANCED MATERIALS
(2021)
Article
Multidisciplinary Sciences
Jiadong Dan, Xiaoxu Zhao, Shoucong Ning, Jiong Lu, Kian Ping Loh, Qian He, N. Duane Loh, Stephen J. Pennycook
Summary: Characterizing materials to atomic resolution and predicting structure-property relationship are crucial for accelerating functional materials discovery. However, there is still a need for a rapid and noise-robust framework to extract multilevel atomic structural motifs from complex materials. This study presents a machine learning framework that can quickly extract complex structural motifs from atomically resolved images, enabling the reconstruction of specimens with various defects and the discovery of new structures. The extracted motifs also provide statistically grounded clues about self-assembly pathways and coarse-grain disorder in multiscale samples.
Article
Physics, Applied
Shuangli Liu, Pengcheng Wan, Xin Shang
Summary: In this study, an interpretable end-to-end network structure for thermoacoustic imaging is proposed and validated on breast models. The proposed method demonstrates superior performance in image quality and imaging time compared to traditional and deep learning methods.
APPLIED PHYSICS LETTERS
(2023)
Review
Engineering, Aerospace
Brandon E. A. Holmes, Vitor T. A. Oiko, Peter C. E. Roberts
Summary: The space industry is showing increasing interest in satellites designed for extended operation at lower altitudes. The advantages of very low Earth orbit (VLEO) missions, such as lower launch costs and reduced radiation effects, make them a promising prospect. However, the presence of atomic oxygen (ATOX) in lower orbital altitudes poses challenges, as it can cause erosion damage and affect satellite aerodynamic control. Accurate measurement of ATOX flux is crucial for satellite design and mission success.
PROGRESS IN AEROSPACE SCIENCES
(2023)
Review
Optics
Mingwei Tang, Yubing Han, Danchen Jia, Qing Yang, Ji-Xin Cheng
Summary: Far-field chemical microscopy, with molecular electronic or vibrational fingerprint information, offers a new perspective for studying three-dimensional biological, material, and chemical systems. Despite the limitation of optics, recent advances in super-resolution techniques have overcome this hurdle, pushing the boundaries of far-field chemical microscopy in terms of spatial resolution. This technique finds applications in various fields including biomedical research, material characterization, environmental study, cultural heritage conservation, and integrated chip inspection.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Engineering, Mechanical
Zhao Li, Pedro Lee, Ross Murch
Summary: This paper proposes a method for estimating the super-resolved impulse response of a water pipeline system using compressive sensing, providing super-resolution results by reconstructing a sparse impulse response. This unique reconstruction can accurately distinguish closely spaced defects and accurately localize them.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Editorial Material
Multidisciplinary Sciences
Telmo O. Paiva, Albertus Viljoen, Yves F. Dufrene
Summary: Advancements in atomic force microscopy (AFM) techniques and methodologies in microbiology have enhanced our understanding of microbial cell surfaces. Recent studies have shown that AFM imaging of cells and membranes at or near molecular resolution enables detailed visualization of membrane-drug interactions.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Rashik Ahmed, Jinfeng Huang, Madoka Akimoto, Tongyu Shi, Giuseppe Melacini
Summary: The study demonstrates that temperature has a significant impact on N-15 - R-2, effectively identifying self-association sites. Through agglomerative clustering, the experiment systematically examines the network of residues involved in self-association and extracts the hierarchy of alpha S self-association sites.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Article
Chemistry, Physical
Hyeongsub Kim, Haenghwa Lee, Donghoon Lee
Summary: Efforts have been made to realize high-resolution medical images, and recent advances in deep learning-based super resolution technology in computer vision have shown excellent achievements. In this study, a deep learning model was developed to dramatically increase the spatial resolution of medical images, and its superiority was quantitatively demonstrated.
RADIATION PHYSICS AND CHEMISTRY
(2023)
Article
Engineering, Electrical & Electronic
Kun Li, Shihong Yue, Yongguang Tan, Huaxiang Wang, Xinshan Zhu
Summary: Electric tomography (ET) is an advanced visualization technique that offers low-cost, rapid-response, nonradiative, and nonintrusive advantages over other tomography modalities. However, the imaging resolution of ET is significantly low, resulting in a shortage of required measurements compared to the number of pixels in a detection field. This study proposes a reproducing kernel-based best interpolation (RKBI) method, which effectively increases the number of numeric measurements in the ET process. RKBI outperforms existing interpolation methods in terms of approximation error for a set of available measurements. The optimality of RKBI is validated through both theoretical and experimental frameworks, highlighting its ability to enhance the spatial resolution and steadiness of ET images.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Nanoscience & Nanotechnology
Manuel Macias-Montero, Ramon J. Pelaez, Victor J. Rico, Zineb Saghi, Paul Midgley, Carmen N. Afonso, Agustin R. Gonzalez-Elipe, Ana Borras
ACS APPLIED MATERIALS & INTERFACES
(2015)
Article
Materials Science, Multidisciplinary
David Rossouw, Robert Krakow, Zineb Saghi, Catriona S. M. Yeoh, Pierre Burdet, Rowan K. Leary, Francisco de la Pena, Caterina Ducati, Catherine M. F. Rae, Paul A. Midgley
Article
Microscopy
Sumiha Ikeshita, Ansis Strodahs, Zineb Saghi, Kazuhiro Yamada, Pierre Burdet, Satoshi Hata, Ken-ichi Ikeda, Paul A. Midgley, Kenji Kaneko
Article
Chemistry, Multidisciplinary
Pau Torruella, Raul Arenal, Francisco de la Pena, Zineb Saghi, Lluis Yedra, Alberto Eljarrat, Lluis Lopez-Conesa, Marta Estrader, Alberto Lopez-Ortega, German Salazar-Alvarez, Josep Nogues, Caterina Ducati, Paul A. Midgley, Francesca Peiro, Sonia Estrade
Article
Microscopy
Pierre Burdet, Z. Saghi, A. N. Filippin, A. Borras, P. A. Midgley
Article
Microscopy
Zineb Saghi, Giorgio Divitini, Benjamin Winter, Rowan Leary, Erdmann Spiecker, Caterina Ducati, Paul A. Midgley
Article
Multidisciplinary Sciences
A. Nicolas Filippin, Manuel Macias-Montero, Zineb Saghi, Jesus Idigoras, Pierre Burdet, Angel Barranco, Paul Midgley, Juan A. Anta, Ana Borras
SCIENTIFIC REPORTS
(2016)
Article
Materials Science, Multidisciplinary
Juan Wu, Mirna Lerotic, Sean Collins, Rowan Leary, Zineb Saghi, Paul Midgley, Slava Berejnov, Darija Susac, Juergen Stumper, Gurvinder Singh, Adam P. Hitchcock
MICROSCOPY AND MICROANALYSIS
(2017)
Article
Chemistry, Physical
A. Nicolas Filippin, Victor Lopez-Flores, T. Cristina Rojas, Zineb Saghi, Victor J. Rico, Juan R. Sanchez-Valencia, Juan P. Espinos, Andrea Zitolo, Michel Viret, Paul A. Midgley, Angel Barranco, Ana Borras
CHEMISTRY OF MATERIALS
(2018)
Article
Chemistry, Applied
Erika Svara Fabjan, Zineb Saghi, Paul A. Midgley, Mojca Otonicar, Goran Drazic, Miran Gaberscek, Andrijana Sever Skapin
Review
Materials Science, Multidisciplinary
Rachid Hida, Claudiu V. Falub, Sandrine Perraudeau, Christine Morin, Sylvie Favier, Yann Mazel, Zineb Saghi, Jean-Philippe Michel
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2018)
Article
Multidisciplinary Sciences
Alejandro Nicolas Filippin, Manuel Macias-Montero, Zineb Saghi, Jesus Idigoras, Pierre Burdet, Juan R. Sanchez-Valencia, Angel Barranco, Paul A. Migdley, Juan A. Anta, Ana Borras
SCIENTIFIC REPORTS
(2017)
Article
Multidisciplinary Sciences
P. Ferrando-Villalba, L. D'Ortenzi, G. G. Dalkiranis, E. Cara, A. F. Lopeandia, Ll. Abad, R. Rurali, X. Cartoixa, N. De Leo, Z. Saghi, M. Jacob, N. Gambacorti, L. Boarino, J. Rodriguez-Viejo
SCIENTIFIC REPORTS
(2018)
Article
Multidisciplinary Sciences
Joshua F. Einsle, Alexander S. Eggeman, Ben H. Martineau, Zineb Saghi, Sean M. Collins, Roberts Blukis, Paul A. J. Bagot, Paul A. Midgley, Richard J. Harrison
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
C. Fenouillet-Beranger, S. Beaurepaire, F. Deprat, A. Ayeres de Sousa, L. Brunet, P. Batude, O. Rozeau, F. Andrieu, P. Besombes, M. -P. Samson, B. Previtali, F. Nemouchi, G. Rodriguez, P. Rodriguez, R. Famulok, N. Rambal, V. Balan, Z. Saghi, V. Jousseaume, C. Guerin, F. Ibars, F. Proud, D. Nouguier, D. Ney, V. Delaye, H. Dansas, X. Federspiel, M. Vinet
2017 47TH EUROPEAN SOLID-STATE DEVICE RESEARCH CONFERENCE (ESSDERC)
(2017)