Article
Chemistry, Analytical
Stephen Siemonsma, Tyler Bell
Summary: Recent world events have led to a significant increase in the use of video conferencing solutions such as Zoom and FaceTime. Despite the common use of 3D capture and display technologies in consumer products, 3D telecommunication has not yet been widely adopted. The study introduces HoloKinect, an open-source platform for live, two-way 3D video conferencing on commodity hardware and standard internet connections, utilizing advanced capture and display techniques for a hologram-like effect.
Article
Optics
Maksymilian Chlipala, Tomasz Kozacki, Han-Ju Yeom, Juan Martinez-Carranza, Rafal Kukolowicz, Jinwoong Kim, Jong-Heon Yang, Ji Hun Choi, Jae-Eun Pi, Chi-Sun Hwang
Summary: This study presents a holographic projection display with a wide angle and reduced speckle noise, utilizing single Fourier lens imaging and complex coding for hologram generation to achieve high resolution and image quality in optical reconstruction. The experiment demonstrates the high efficiency of the developed numerical tools, allowing for possible video display at a full frame rate using a phase-only spatial light modulator.
Article
Physics, Multidisciplinary
Jianming Wang, Jianhua Chen
Summary: An adaptive rate Compressive Sensing method for video signals is proposed, which utilizes Blocked Compressive Sensing scheme and adaptive rate sampling. Experimental results show that the method achieves accurate sparsity estimation and better image reconstruction quality compared to the latest adaptive Compressive Video Sensing methods.
Article
Computer Science, Artificial Intelligence
Lishun Wang, Miao Cao, Yong Zhong, Xin Yuan
Summary: Video snapshot compressive imaging (SCI) is a computational imaging technique that captures multiple video frames with a single measurement. It utilizes masks to modulate high-speed frames, which are then summed to a single measurement captured by a low-speed 2D sensor. This article focuses on the reconstruction algorithm for video SCI and introduces a Spatial-Temporal transFormer (STFormer) that exploits correlation in spatial and temporal domains. The STFormer network, consisting of token generation block, video reconstruction block, and multiple STFormer blocks, achieves state-of-the-art performance in both simulated and real data.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Optics
Yufei Dou, Miao Cao, Xiaodong Wang, Xing Liu, Xin Yuan
Summary: We introduce a coded aperture temporal compressive digital holographic microscopy (CATCHY) system that combines snapshot compressive imaging (SCI) with digital holographic microscopy to capture high-speed high-resolution samples. The system utilizes a two-dimensional detector to sample spatiotemporal data in a compressive manner, and a deep learning-based video SCI reconstruction algorithm to reconstruct the desired data cube. Experimental results show the potential of the CATCHY system in visualizing the 3D dynamic process of micro-nanostructures and imaging biological samples with high spatial and temporal resolution.
Article
Chemistry, Analytical
Raul Castaneda, Carlos Trujillo, Ana Doblas
Summary: This study introduces a conditional generative adversarial network (cGAN) for robust and fast quantitative phase imaging in DHM. The proposed learning-based method was trained and validated using human red blood cells recorded on an off-axis Mach-Zehnder DHM system, resulting in a computationally efficient method that reconstructs DHM images seven times faster than conventional approaches.
Article
Multidisciplinary Sciences
Wonjun Choi, Munkyu Kang, Jin Hee Hong, Ori Katz, Byunghak Lee, Guang Hoon Kim, Youngwoon Choi, Wonshik Choi
Summary: The authors present a flexible endoscope based on a bare fibre bundle and a lensless Fourier holographic imaging configuration to detect weak reflections from unstained biological tissues. The proposed endoscope allows calibration-free holographic image reconstruction and imaging through narrow and curved passages.
NATURE COMMUNICATIONS
(2022)
Article
Optics
Ting Yang, Zhilong Xu, Wenyi Ren, Yang Feng, Dan Wu, Rui Zhang, Yingge Xie
Summary: This paper presents a hyperspectral microscopic imaging system based on compressive sensing theory using spectral-coded illumination. A spectral modulator, consisting of a liquid crystal variable retarder and two polarizers, is used to encode the spectral transmittance of the incident light by adjusting the voltage of the liquid crystal variable retarder. The feasibility of the system is confirmed through computer simulations and laboratory experiments, offering an alternative approach for designing a low-cost and compact hyperspectral microscope.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yakun Huang, Yuanwei Zhu, Xiuquan Qiao, Xiang Su, Schahram Dustdar, Ping Zhang
Summary: This article reviews the latest advances in holographic video communication technology, explores the challenges faced in delivering immersive experiences, and presents a preliminary prototype of an AI-driven holographic video communication system with performance evaluation results. Additionally, future research directions and potential solutions for real-time and high-quality holographic experiences are discussed.
IEEE COMMUNICATIONS MAGAZINE
(2022)
Article
Optics
Arkadiusz Kus
Summary: This paper introduces a simple, single-exposure holographic tomography (HT) system that can record a full set of multiplexed projections in a single hologram, providing satisfactory quality of the 3D refractive index distribution through a robust tomographic reconstruction algorithm.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Biology
Devan Rouzie, Christian Lindensmith, Jay Nadeau
Summary: Digital holographic microscopy allows for observation of large volumes without needing to actively refocus, enabling simultaneous observation of multiple small objects. Discriminating between living and non-living objects of similar sizes may be challenging, but passive motion can be used to differentiate them.
Article
Computer Science, Artificial Intelligence
Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi
Summary: In this work, reinforcement learning is applied to video compressive sensing to adapt the compression ratio. The gap in previous studies of how to adapt B in the video SCI system is filled using RL. An RL model and various convolutional neural networks are employed to achieve adaptive sensing of video SCI systems. Additionally, the performance of an object detection network is utilized for RL-based adaptive video compressive sensing. This proposed adaptive SCI method can be implemented in low cost and real time, and takes the technology one step further towards real applications of video SCI.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Rostislav Boltyanskiy, Mary Ann Odete, Fook Chiong Cheong, Laura A. Philips
Summary: Total holographic characterization (THC) is an efficient, automated, label-free method for accurately identifying cell viability. It determines the size and index of refraction of individual particles using the Lorenz-Mie theory of light scattering, and can effectively distinguish living and dead cells by their refractive index.
SCIENTIFIC REPORTS
(2022)
Article
Biochemical Research Methods
Pawel Ossowski, Arkadiusz Kus, Wojciech Krauze, Szymon Tamborski, Michal Ziemczonok, Lukasz Kuzbicki, Maciej Szkulmowski, Malgorzata Kujawinska
Summary: This paper presents a holographic tomography technique that uses wavelength and illumination scanning in the near-infrared region to acquire projections. The study shows that the multi-wavelength protocol has advantages in terms of signal-to-noise ratio and contrast-to-noise ratio over single-wavelength protocols, even with the same number of projections used for reconstruction. Furthermore, the approach is suitable for providing high-quality refractive index distributions of relatively thick colon cancer samples.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Engineering, Electrical & Electronic
Ziwei Wan, Zhen Gao, Feifei Gao, Marco Di Renzo, Mohamed-Slim Alouini
Summary: In the field of terahertz communication, holographic reconfigurable intelligent surfaces (RIS) can achieve holographic communication with practical hardware architecture and higher performance advantages. Meanwhile, for THz massive MIMO systems, a closed-loop channel estimation (CE) scheme is proposed to effectively estimate channels, and compressive sensing technique is introduced to reduce pilot overhead.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Optics
Chengyu Wang, Minghao Hu, Yuzuru Takashima, Timothy Schulz, David Brady
Summary: In this study, convolutional neural networks are used to recover images that have been optically down-sampled by a factor of 6.7 using coherent aperture synthesis over a 16-camera array. Instead of relying on scanning and oversampling like conventional ptychography, decompressive neural estimation is applied here to recover full-resolution images from a single snapshot. Multiple snapshots can be used to improve the signal-to-noise ratio (SNR) as demonstrated in simulations. In addition, in-place training on experimental measurements eliminates the need for direct calibration of the measurement system. Simulations of various array camera sampling strategies are also presented to explore the optimization of snapshot compressive systems.
Article
Optics
Ryoichi Horisaki, Takuro Aoki, Yohei Nishizaki, Andre Rohm, Nicolas Chauvet, Jun Tanida, Makoto Naruse
Summary: In this paper, wave propagation models of spatially partially coherent light are presented to reduce the computational load of forward and back propagations in inverse problems. By approximating partially coherent light as random or plane wavefronts passing through spatial filters, the number of coherent propagations can be reduced, making it applicable in optical control and sensing.
Article
Optics
Ryoichi Horisaki, Kunihiko Ehira, Yohei Nishizaki, Makoto Naruse, Jun Tanida
Summary: This paper presents a technique for digital optical phase conjugation through scattering media using spatially and temporally incoherent light. The method eliminates the need for light coherence and interferometric measurement, and includes a method for suppressing background noise.
Article
Physics, Multidisciplinary
Naoki Fujita, Andre Rohm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Summary: In this study, we prove the existence of algebraic structures in the pairing problem and minimize the variance of individual compatibilities by transforming the initially estimated compatibility information. We demonstrate that the total compatibility obtained using the heuristic pairing algorithm on the transformed problem is significantly higher than the previous method. With this improved perspective, we can contribute to practical applications such as wireless communications.
Article
Mathematics, Applied
Kohei Tsuchiyama, Andre Rohm, Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse
Summary: Reservoir computing is a machine learning paradigm that utilizes a reservoir structure with nonlinearities and short-term memory. It has expanded to various functions including autonomous generation of chaotic time series, time series prediction, and classification. Sampling plays a crucial role in physical reservoir computers, but finding the suitable sampling frequency is essential for effectively regenerating chaotic time series.
Article
Mathematics, Applied
Naoki Asuke, Tomoki Yamagami, Takatomo Mihana, Andre Rohm, Ryoichi Horisaki, Makoto Naruse
Summary: Multiscale entropy (MSE) and Allan variance are statistical measures used to study nonlinear systems at different time scales. Despite being developed independently for different purposes, they share foundations and exhibit similar tendencies from an information-theoretical perspective. Experimental results show that MSE and Allan variance demonstrate similar properties in chaotic lasers and physiological heartbeat data. The consistency between MSE and Allan variance is related to certain conditional probabilities. However, artificially constructed random sequences demonstrate different trends in MSE and Allan variance.
Article
Mathematics, Interdisciplinary Applications
Hiroaki Shinkawa, Nicolas Chauvet, Guillaume Bachelier, Andre Rohm, Ryoichi Horisaki, Makoto Naruse
Summary: When faced with multiple choices, personal preferences often lead to conflicts and losses when others make the same selections. Previous studies focused on fair joint decision-making with deterministic preferences, while our research proposes conflict-free joint decision-making that satisfies the probabilistic preferences of all players.
Article
Physics, Multidisciplinary
Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, Andre Rohm, Ryoichi Horisaki, Makoto Naruse
Summary: Quantum walks have the unique ability to exhibit both linear spreading and localization, which is utilized in various applications. This paper proposes algorithms for multi-armed bandit problems using both classical random walks and quantum walks. By associating the difficult operations of exploration and exploitation with the behaviors of quantum walks, we show that the quantum walk model outperforms the corresponding random walk model under certain settings.
Article
Physics, Applied
Hirotsugu Suzui, Kazuharu Uchiyama, Kingo Uchida, Ryoichi Horisaki, Hirokazu Hori, Makoto Naruse
Summary: A mathematical model based on swallow-tail catastrophe is proposed to explain the diverse morphological changes observed in photochromic crystals. This model can classify and explain bending, cracking, and photosalient effects, and provides insight into unexplored operating conditions of the crystals.
JOURNAL OF APPLIED PHYSICS
(2023)
Article
Optics
Ryutaro Suda, Yohei Nishizaki, Makoto Naruse, Ryoichi Horisaki
Summary: We propose a method for computer-generated holography (CGH) that allows different images to be reproduced on both sides of a hologram using a single illumination source. This method utilizes a transmissive spatial light modulator (SLM) and a half mirror (HM) located downstream of the SLM. The light modulated by the SLM is partially reflected by the HM, and the reflected light is modulated again by the SLM for double-sided image reproduction. We derive an algorithm for double-sided CGH and demonstrate it experimentally.
Article
Optics
Takuto Igarashi, Makoto Naruse, Ryoichi Horisaki
Summary: We propose a diffractive optics design for incoherent imaging that allows for an extendable field-of-view. Our method uses multiple layers of DOEs to reproduce upright images from a spatially incoherent input plane onto an output plane, without the need for shift invariance approximation. The field-of-view can be extended by using an array of DOEs without further calculation.
Article
Optics
Tomoki Yamagami, Etsuo Segawa, Ken'ichiro Tanaka, Takatomo Mihana, Andre Rohm, Ryoichi Horisaki, Makoto Naruse
Summary: In this paper, we propose the existence of a common underlying structure, called a skeleton structure, in discrete-time quantum walks (QWs) on a one-dimensional lattice with a homogeneous coin matrix. This structure is independent of the initial state and partially independent of the coin matrix. It is best interpreted in the context of quantum-walk-replicating random walks (QWRWs), where it acts as a simplified formula for the transition probability. Additionally, we construct a random walk using the skeleton structure as transition probabilities and demonstrate its similarity to both the original QWs and QWRWs.
Article
Physics, Fluids & Plasmas
Naoki Asuke, Nicolas Chauvet, Andre Rohm, Kazutaka Kanno, Atsushi Uchida, Tomoaki Niiyama, Satoshi Sunada, Ryoichi Horisaki, Makoto Naruse
Summary: Allan variance is widely used to evaluate the stability of time series generated by atomic clocks and lasers, and it can also be beneficial in assessing chaotic oscillation dynamics of semiconductor lasers, especially in terms of low-frequency fluctuations. This study demonstrates the effectiveness of Allan variance in analyzing complex time series generated by semiconductor lasers with delayed feedback, particularly in capturing multiple time-scale dynamics, including low-frequency fluctuations. The findings suggest that Allan variance can provide insights into and characterize diverse laser dynamics spanning a wide range of timescales.
Proceedings Paper
Engineering, Electrical & Electronic
Charles J. Revello, Ronald G. Driggers, David Brady, Kyle Renshaw
Summary: The recent advancements in commercial drone performance have led to their increased use in private industries. Utilizing multiple lightweight sensors, these drones are able to achieve large area coverage while maintaining good ground sample resolution, offering a more robust system.
INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XXXIII
(2022)
Review
Optics
Zhihong Zhang, Bo Zhang, Xin Yuan, Siming Zheng, Xiongfei Su, Jinli Suo, David J. Brady, Qionghai Dai
Summary: This paper discusses the application of computational imaging in snapshot compressive imaging (SCI) and semantic computer vision (SCV) tasks. The current practice of computational imaging has some limitations, including resource wastage, decreased efficiency, and reconstruction errors. To address these issues, the paper proposes a joint framework that combines SCV with SCI to leverage the advantages of both approaches.
