Article
Physics, Multidisciplinary
Mengrui Wang, Tianyu Zhao, Zhaojun Wang, Kun Feng, Jingrong Ren, Yansheng Liang, Shaowei Wang, Ming Lei
Summary: This paper proposes a focus level correlation algorithm for 3D color image reconstruction in optical sectioning structured illumination microscopy (OS-SIM). The algorithm can authentically restore the color of the sample and improve the image processing speed significantly.
FRONTIERS IN PHYSICS
(2022)
Article
Acoustics
Daewoon Seong, Euimin Lee, Yoonseok Kim, Sangyeob Han, Jaeyul Lee, Mansik Jeon, Jeehyun Kim
Summary: Spatial sampling density and data size are important factors for the imaging speed of photoacoustic microscopy (PAM). Undersampling methods are commonly used to increase PAM imaging speed by reducing the number of scanning points. In this study, a deep learning-based method for fully reconstructing undersampled 3D PAM data was proposed, which exhibited robustness and outperformed interpolation-based methods at various undersampling ratios. The proposed method significantly improved PAM system performance with 80-times faster imaging speed and 800-times lower data size.
Article
Engineering, Electrical & Electronic
Ezra Ip, Fabien Ravet, Hugo Martins, Ming-Fang Huang, Tatsuya Okamoto, Shaobo Han, Chaitnaya Narisetty, Jian Fang, Yue-Kai Huang, Milad Salemi, Etienne Rochat, Fabien Briffod, Alexandre Goy, Maria del Rosario Fernandez-Ruiz, Miguel Gonzalez Herraez
Summary: This article reviews recent advances in distributed fiber optic sensing (DFOS) and its applications. DFOS utilizes the scattering mechanisms in glass to measure strain and/or temperature, enabling the monitoring of the ambient environment. By leveraging technologies developed for telecommunications, DFOS has achieved improved performance in terms of measurement resolution, reach, spatial resolution, and bandwidth. The article discusses the theory and architecture of commonly used DFOS methods and provides examples of their applications in various fields such as geohazard monitoring, seismic monitoring, traffic monitoring, and infrastructure health monitoring.
PROCEEDINGS OF THE IEEE
(2022)
Article
Optics
Yirui Wang, Fengyi Jiang, Guohao Ju, Boqian Xu, Qichang An, Chunyue Zhang, Shuaihui Wang, Shuyan Xu
Summary: Segmented primary mirrors offer crucial advantages for constructing extra-large space telescopes, but the imaging quality is sensitive to phasing errors. Deep learning has been widely used for phasing segmented mirrors, with the advantages of high efficiency and avoiding stagnation issues. The proposed deep Bi-GRU neural network is effective for fine phasing of segmented mirrors, addressing the gradient vanishing problem and incorporating various errors for accurate and effective results.
Article
Engineering, Mechanical
Sergei Mikhailov, Jeroen van Wittenberghe, Geert Luyckx, Philippe Thibaux, Thomas Geernaert, Francis Berghmans
Summary: In this study, we demonstrated the application of distributed fiber optic strain sensing based on optical frequency-domain reflectometry for early detection and location of fatigue cracks in welds in steel tubular test specimens. By subjecting the specimens to resonant bending load and continuously measuring the strain distributions with high resolution, we successfully detected and located fatigue cracks originating from the inner surface of the specimens in real time. The detection of crack initiation may provide relevant information for estimating the remaining lifetime of the component.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Materials Science, Textiles
Chengzu Li, Honghua Zhang, Xinyang He, Qi Liu, Gaige Dong, Rongwu Wang
Summary: In this study, a novel fiber segmentation and 3D nonwoven reconstruction algorithm was developed to restore fiber continuity. This method is suitable for reconstructing nonwovens with complex structures and provides an effective approach for the subsequent simulation and evaluation of filtration characteristics.
TEXTILE RESEARCH JOURNAL
(2023)
Article
Biochemical Research Methods
Jiji Chen, Hideki Sasaki, Hoyin Lai, Yijun Su, Jiamin Liu, Yicong Wu, Alexander Zhovmer, Christian A. Combs, Ivan Rey-Suarez, Hung-Yu Chang, Chi Chou Huang, Xuesong Li, Min Guo, Srineil Nizambad, Arpita Upadhyaya, Shih-Jong J. Lee, Luciano A. G. Lucas, Hari Shroff
Summary: In this study, we demonstrate the application of residual channel attention networks (RCAN) for the restoration and enhancement of volumetric time-lapse fluorescence microscopy data, achieving competitive denoising results compared to other state-of-the-art neural networks. The RCAN network was also shown to enable resolution enhancement equivalent to, or better than, other networks through simulations and practical applications. Additionally, we explored the use of RCAN for denoising and resolution improvement in confocal microscopy, as well as in structured illumination microscopy, achieving substantial enhancements in lateral and axial resolution. The study also provides insights into the limits of denoising and resolution enhancement, suggesting practical benchmarks for evaluating and further enhancing network performance.
Article
Chemistry, Multidisciplinary
Tomas Fordey, Petr Bouchal, Petr Schovanek, Michal Baranek, Zdenek Bouchal, Petr Dvorak, Martin Hrton, Katarina Rovenska, Filip Ligmajer, Radim Chmelik, Tomas Sikola
Summary: The study presents a technique for imaging the 3D rotational movement of metal nanorods, revealing different orientations of the nanorods in azimuthal and polar angles. By manipulating light angular momentum and generating optical vortices, the researchers were able to create self-interference images to determine the nanorods' angles via digital processing. The successful application of this technique in real-time imaging of nanorods in live-cell imaging highlights its potential for studying nanoscale systems.
Article
Materials Science, Textiles
Chengzu Li, Gaige Dong, Rongwu Wang
Summary: This paper proposes a new reconstruction algorithm for nonwoven fabric structure, which captures multi-focused images of fibers and fuses them into a two-dimensional image, calculates the three-dimensional coordinates of the source point, and generates a closed three-dimensional surface. Experimental results demonstrate that the method can accurately reconstruct the structure of nonwoven fabric and retain its vertical connection information, which is of great significance to the interception of harmful substances, the production and preparation of filter medium, and the study of filtration mechanism.
TEXTILE RESEARCH JOURNAL
(2022)
Article
Multidisciplinary Sciences
Yan Zhang, Lei Kang, Wentao Yu, Victor T. C. Tsang, Terence T. W. Wong
Summary: Researchers have developed a label-free 3D histological imaging technique called MATE that allows rapid imaging of whole organs and simultaneous visualization of cell nuclei, fiber tracts, and blood vessels. The technique can also quantitatively extract diagnostic features such as nuclear size and packing density.
Article
Engineering, Electrical & Electronic
Jeremie Pillon, Matthieu Collignon, Maxime Rattier, Francois Louf, Emmanuelle Peter, Pierre-Alain Boucard, Herve C. Lefevre
Summary: The study focuses on the precise topological reconstruction of the sensing coil of a fiber-optic gyroscope using X-ray computed tomography. It evaluates the quality of the winding, quantifies crossovers and layer transition fibers, and highlights winding defects.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Optics
Hyunmo Kim, Daewoon Seong, Sangyeob Han, Hoseong Cho, Jaeyul Lee, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim
Summary: In this study, optical-resolution photoacoustic microscopy (PAM) was used to noninvasively observe the morphological structures of ants, providing detailed information of both external and internal features. The PAM system allowed for a wide scan range, covering the entire ant body and magnifying specific parts for analysis. The findings show the feasibility of PAM in contributing to morphological studies in entomology research.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Anatomy & Morphology
Marina Scardigli, Luca Pesce, Niamh Brady, Giacomo Mazzamuto, Vladislav Gavryusev, Ludovico Silvestri, Patrick R. Hof, Christophe Destrieux, Irene Costantini, Francesco S. Pavone
Summary: The study evaluated different tissue transformation approaches to achieve uniform labeling of all neurons in the human cerebral cortex. Ultimately, high-resolution 3D reconstruction of successfully clarified and stained samples was achieved using LSFM technology.
FRONTIERS IN NEUROANATOMY
(2021)
Review
Biochemical Research Methods
Tariq Sami Haddad, Peter Friedl, Navid Farahani, Darren Treanor, Inti Zlobec, Iris Nagtegaal
Summary: The authors discuss three-dimensional imaging pipelines for analyzing archival patient specimens, emphasizing the importance of utilizing these techniques. Advancements in new technologies have improved our ability to visualize tissues with subcellular resolution. Additionally, archival tissues are an overlooked resource that can provide valuable information with the appropriate methods.
Article
Engineering, Electrical & Electronic
Frederico A. Jahnert, Guilherme H. Weber, Danilo F. Gomes, Marco J. da Silva, Daniel R. Pipa, Jean Carlos Cardozo da Silva, Cicero Martelli, Sergio T. Camargo Junior, Manoel F. Silva Junior, Jucelio T. Pereira, Carlos A. Bavastri
Summary: This article presents a novel method for measuring local dynamic strain of structures using distributed acoustic sensors (DASs). Experimental results show that using a serpentine configuration can significantly improve the accuracy of DAS measurements and increase the peak-to-noise ratio.
IEEE SENSORS JOURNAL
(2022)
