Article
Multidisciplinary Sciences
Yimin Wang, Yixian Chen, Guilong Li, Yuhuan Lu, Zhaocheng He, Zhi Yu, Weiwei Sun
Summary: Despite abundant accessible traffic data, research on traffic flow estimation and optimization still struggle with the trade-off between level of detail and comprehensiveness. A breakthrough comes in the form of holographic traffic data, which provides city-scale vehicular continuous trajectories with the finest resolution, allowing for a reproduction of every aspect of traffic flow evolution and personal mobility patterns within a city. Utilizing the high coverage of Automatic Vehicle Identification (AVI) devices in Xuancheng city, we constructed a dataset of one-month continuous trajectories for 80,000 vehicles, ensuring accurate intersection passing time and eliminating bias in travel path estimation. This holographic traffic data enables a reproduction of every detail of traffic flow evolution, and we present a set of traffic flow data derived from holographic trajectories resampling, encompassing the entire city and including stationary average speed and flow data at 5-minute intervals, as well as dynamic floating car data (FCD).
Article
Optics
Jin Li, Quinn Smithwick, Daping Chu
Summary: In this study, we propose a modular holographic display system that allows seamless spatial tiling of multiple coarse integral holographic (CIH) displays called holobricks. This system uses coarse pitch and small area SLMs in conjunction with periscopic coarse integral optics to achieve large viewing areas and fields of view in the angularly tiled 3D holograms.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Review
Optics
Hai Yu
Summary: This paper introduces an angular displacement measurement technology based on in-line digital holographic reconstruction, achieving high measurement resolution by reconstructing the optical information of calibrated gratings in a small volume.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Da Sun, Zhenpeng Luo, Ping Su, Jianshe Ma, Liangcai Cao
Summary: This paper quantified the impact of l(1) norm and TV norm sparse constraints on holographic reconstruction quality under different conditions. Results showed that l(1) norm achieved higher quality for high-quality holograms, while TV norm was more stable and better for low-quality holograms. It also provided recommendations for choosing sparse constraints in compressive holographic tomography.
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
Ping Su, Da Sun, Jianshe Ma, Zhenpeng Luo, Hua Zhang, Shilun Feng, Liangcai Cao
Summary: Digital holographic microscopy with compressive sensing has achieved tomography successfully, but the enhancement of axial resolution remains unclear. This study quantified the elongation effect of DH systems without paraxial approximation, revealing it as an inherent property influenced by numerical aperture. By eliminating the elongation effect with CS, the tomography of fibers was achieved and crossed fibers were successfully distinguished at different distances. There are potential applications of this theory in tomography and observation of microscale objects in biological and fluid fields.
Article
Optics
Wei Liu, Siqin Tao, Fuxia Cheng, Zeqiu Yang, Wenlu Wang, Ming Kong
Summary: In order to address phase compensation errors in dual-wavelength digital holographic microscopy caused by rough surface and complex structure of objects, a phase compensation algorithm based on image segmentation is proposed. This algorithm compensates for phases less than zero by adding an initial 2π phase, binarizes the compensated phase and removes small connected areas, and recompensates the phase of the object in different regions based on the binarized graphs. Experimental results show that this method can effectively obtain the continuous real phase of the object, providing a new idea for high-quality three-dimensional imaging of microfluidic systems.
Article
Optics
Shu-Feng Lin, Philippe Gentet, Di Wang, Seung-Hyun Lee, Eun-Soo Kim, Qiong-Hua Wang
Summary: The proposed full-color holographic three-dimensional display system utilizes an angular-compensating holographic optical element to achieve a simple structure for full-color display. This system eliminates the need for additional optical elements for synthesizing full-color reconstruction, leading to enhanced system integration and miniaturization.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Jingwen Li, Wenxuan Zhang, Amin Engarnevis
Summary: This article introduces a compact digital in-line holographic microscopy platform with an inertial spectrometer, which can simultaneously measure two independent fingerprint parameters at a single species level. By detecting the particle location and size, the particle mass density can be estimated, and the refractive index of each particle can be extracted through Monte Carlo fitting. This approach represents a significant advancement in particle characterization and composition identification, with potential applications in various fields.
Article
Chemistry, Multidisciplinary
Kamran Javed, Nizam Ud Din, Ghulam Hussain, Tahir Farooq
Summary: In this research, a novel generative adversarial network (GAN) based image-to-image translation approach is proposed to remove shadows in face images. The method successfully removes shadows and retains complex facial semantics through two stages of processing. Experimental results show significant advantages of this method compared to other approaches.
APPLIED SCIENCES-BASEL
(2022)
Article
Physics, Multidisciplinary
Liang Xue, Xinze Li, Yue Peng, Yufei Xu, Chao Jiang, Chuankai Yang
Summary: A method based on lens-free holographic microscopy is proposed for the assessment of transformer oil quality, which allows for the evaluation of gas bubbles in the oil through holographic imaging and parameter calculation. Experimental results demonstrate the accuracy and feasibility of this method for transformer oil quality assessment.
Article
Optics
Xin Zhao, Xinzhu Sang, Hui Li, Duo Chen, Yuanhang Li, Cheng Peng, Binbin Yan
Summary: A holographic visualization method for volume data based on adjustable ray to optical-wave conversion is introduced. Multiple rays are emitted to sample the volumetric field, and equal interval sampling, object light wave adjustment, and information composition are performed sequentially during the march of rays. Optical experiments confirm that this method can holographically reconstruct the surface and interior information of objects.
CHINESE OPTICS LETTERS
(2022)
Article
Chemistry, Multidisciplinary
Fazliaty Edora Fadzli, Ajune Wanis Ismail, Shafina Abd Karim Ishigaki, Muhammad Nur Affendy Nor'a, Mohamad Yahya Fekri Aladin
Summary: This paper introduces a real-time 3D reconstruction of a human using a depth sensor and integrates it with a holographic telepresence application. The research demonstrates the initial results by displaying the reconstructed 3D representation of the user using holographic projection technology. The paper also presents the processes involved in real-time 3D reconstruction, including data acquisition, background removal, point cloud extraction, and surface generation.
APPLIED SCIENCES-BASEL
(2022)
Article
Multidisciplinary Sciences
Mikolaj Rogalski, Jose Angel Picazo-Bueno, Julianna Winnik, Piotr Zdankowski, Vicente Mico, Maciej Trusiak
Summary: Building on Gabor's principle, digital in-line holographic microscopy allows efficient investigations of large volumes in space and time. This has a significant impact on particle tracking in various fields of science and technology. The DarkTrack algorithm presented in this work offers a versatile, fast, precise, and robust 4D holographic tracking method based on high-contrast dark fields. It fills an important gap in holographic particle tracking technology and enables benchmarking and assessment of tracking algorithms.
SCIENTIFIC REPORTS
(2022)
Editorial Material
Surgery
Tycho S. Wesselius, Jene W. Meulstee, Gijs Luijten, Tong Xi, Thomas J. J. Maal, Dietmar J. O. Ulrich
Summary: This study describes an innovative workflow using holographic augmented reality to visualize patient-specific anatomy. By registering the holographic anatomy on the patient, accurate localization of the anatomy is achieved. Holographic augmented reality can be used for preparing a deep inferior epigastric perforator flap harvest, showing promising potential applications.
PLASTIC AND RECONSTRUCTIVE SURGERY
(2021)
Article
Astronomy & Astrophysics
Ben Freivogel, Robert A. Jefferson, Laurens Kabir, I-Sheng Yang
Article
Physics, Particles & Fields
Ben Freivogel, Robert A. Jefferson, Laurens Kabir
JOURNAL OF HIGH ENERGY PHYSICS
(2016)
Article
Physics, Particles & Fields
Alexandre Belin, Ben Freivogel, Robert A. Jefferson, Laurens Kabir
JOURNAL OF HIGH ENERGY PHYSICS
(2017)
Article
Physics, Particles & Fields
Robert A. Jefferson, Robert C. Myers
JOURNAL OF HIGH ENERGY PHYSICS
(2017)
Article
Physics, Fluids & Plasmas
R. A. Jefferson, M. Cianciosa, E. Thomas
PHYSICS OF PLASMAS
(2010)
Article
Physics, Multidisciplinary
Hugo A. Camargo, Pawel Caputa, Diptarka Das, Michal P. Heller, Ro Jefferson
PHYSICAL REVIEW LETTERS
(2019)
Article
Physics, Multidisciplinary
Hugo A. Camargo, Michal P. Heller, Ro Jefferson, Johannes Knaute
PHYSICAL REVIEW LETTERS
(2019)
Article
Physics, Multidisciplinary
Johanna Erdmenger, Kevin T. Grosvenor, Ro Jefferson
Article
Physics, Multidisciplinary
Michal P. Heller, Ro Jefferson, Michal Spalinski, Viktor Svensson
PHYSICAL REVIEW LETTERS
(2020)
Article
Physics, Multidisciplinary
Johanna Erdmenger, Kevin T. Grosvenor, Ro Jefferson
Summary: This study investigates the analogy between the renormalization group (RG) and deep neural networks, quantifying the flow of information through computing the relative entropy. The observed monotonic increase to a parameter-dependent asymptotic value has implications in quantum field theory and machine learning. However, more refined probes are necessary for a full elucidation of the information flow in these models.
Article
Physics, Multidisciplinary
Kevin T. Grosvenor, Ro Jefferson
Summary: This study explicitly constructs a quantum field theory for a class of deep neural networks, and finds an analogy with the well-studied O(N) vector model. The corrections to the correlation function provide insights into the control of information propagation depth, opening up new avenues for studying criticality in deep neural networks.
Article
Physics, Multidisciplinary
Ro Jefferson
Article
Physics, Multidisciplinary
Shira Chapman, Jens Eisert, Lucas Hackl, Michal R. Heller, Ro Jefferson, Hugo Marrochio, Robert C. Myers
Article
Mathematics, Applied
Robert A. Jefferson, Johannes Walcher
COMMUNICATIONS IN NUMBER THEORY AND PHYSICS
(2014)