Article
Optics
Abbas Shiri, Ayman F. Abouraddy
Summary: Omni-resonance enables broadening of spectral transmission through preconditioning the incident optical field in a planar cavity, allowing simultaneous resonation of all wavelengths for broadband imaging. The spatial resolution of omni-resonant imaging is determined by the spectral linewidth of the cavity resonance, which surprisingly improves at longer wavelengths due to the negative angular dispersion intrinsic to Fabry-Perot resonances.
Article
Engineering, Electrical & Electronic
Feng Ouyang, Jia Yu, Huiping Liu, Zhen Ma, Xiao Yu
Summary: The study introduces an underwater imaging system based on light field camera array, which achieves high-quality images and accurate 3D reconstruction in harsh underwater environments. Experimental results show that the system has a SSIM value of 0.378 in turbid water, significantly better than the SSIM value of 0.197 for conventional single-camera imaging.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Zicheng Feng, Wenlong Zhang, Shunkun Liang, Qifeng Yu
Summary: In this paper, a method for reconstructing high-resolution high-frame-rate videos using a hybrid video input is proposed. The method utilizes a low-resolution high-frame-rate video and a high-resolution low-frame-rate video as input, and applies a deep learning model for processing and aggregation, achieving excellent reconstruction results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Engineering, Marine
Jingyu Ru, Shuangjiang Yu, Hao Wu, Yuhan Li, Chengdong Wu, Zixi Jia, Hongli Xu
Summary: This paper introduces an underwater information collection AUV, O-AUV, which can perceive omnidirectional areas and detect larger regions compared to traditional AUVs. A 3D sensing model and cube-based environment model are proposed for the O-AUV, along with a voyage cost map and the use of the ANSGA algorithm for multi-AUV path planning. The experiments conducted in MATLAB verify the effectiveness of the O-AUV+ANSGA algorithm framework.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Optics
Xinpei Hu, Junhu Cai, Yongzhen Liu, Mengyun Zhao, Enguo Chen, Jie Sun, Qun Yan, Tailiang Guo
Summary: This paper proposes an omni-directional reflector (ODR) for mu LED displays to improve light extraction efficiency and reduce sidewall emission. The sidewall emission of inclined mu LED is analyzed using the two-dimensional finite-difference time-domain method, and the effectiveness of ODR is verified through experiments.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Maurice Ruetters, Sinan Sen, Holger Gehrig, Thomas Bruckner, Ti-Sun Kim, Christopher J. Lux, Heinz-Peter Schlemmer, Sarah Heinze, Joscha Maier, Marc Kachelriess, Stefan Sawall
Summary: Clinical photon-counting CT (PCCT) offers higher spatial resolution and similar radiation dose compared to dental CBCT, and has reliable diagnostic capabilities in dental imaging.
SCIENTIFIC REPORTS
(2022)
Article
Materials Science, Multidisciplinary
Wei Tan, Xianwei Huang, Teng Jiang, Suqin Nan, Qin Fu, Xuanpengfan Zou, Yanfeng Bai, Xiquan Fu
Summary: This paper introduces the concept of critical resolution and analyzes the critical resolution of pseudo-thermal ghost imaging (PGI) system. By proposing a mathematical formula and presenting the evolution process, the resolution limit of the PGI system is determined to be 1.98 times the speckle size.
RESULTS IN PHYSICS
(2022)
Article
Computer Science, Information Systems
Bing Wang, Qiang Peng, Eric Wang, Wei Xiang, Xiao Wu
Summary: The paper introduces an interactive light field video streaming system that achieves the best performance by using a user-dependent view selection scheme and LF video coding method.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Materials Science, Characterization & Testing
J. C. Lesage, M. Marvasti, O. Farla
Summary: This paper introduces an algorithm called Vector Coherence Imaging (VCI) that retains phase information to assist in detecting small defects close to the boundaries of specimens, particularly tip diffraction/scattering from surface connected fatigue cracks and early stage high temperature hydrogen attack damage.
NDT & E INTERNATIONAL
(2021)
Article
Multidisciplinary Sciences
Xia Hua, Yujie Wang, Shuming Wang, Xiujuan Zou, You Zhou, Lin Li, Feng Yan, Xun Cao, Shumin Xiao, Din Ping Tsai, Jiecai Han, Zhenlin Wang, Shining Zhu
Summary: The authors present a compact method for spectral light-field imaging using a transversely dispersive metalens array and a monochrome imaging sensor. They demonstrate the ability to obtain 4D images in a single shot and discriminate visually indistinguishable objects. This technique allows for high-resolution spectral and spatial imaging, making significant progress towards ideal plenoptic imaging.
NATURE COMMUNICATIONS
(2022)
Article
Computer Science, Software Engineering
Yeyao Chen, Gangyi Jiang, Mei Yu, Haiyong Xu, Yo-Sung Ho
Summary: This paper proposes a deep learning-based LF spatial super-resolution method using heterogeneous imaging (LFSSR-HI). The method utilizes an additional high-resolution traditional camera to capture spatial information and enhance the LF image resolution. Experimental results show that the proposed method outperforms existing methods in both qualitative and quantitative comparisons, and preserves more accurate angular consistency.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Chemistry, Analytical
Sho-Tsung Kao, Ming-Tzu Ho
Summary: This research developed a system to catch thrown balls using an omni-directional wheeled mobile robot and image processing system. The dynamic stereo vision camera tracked the ball's movement, while a Kalman filter with deep learning was used to estimate the ball's position and velocity, successfully predicting its future trajectory. The system's performance was verified through numerical simulation and experimental validation.
Article
Biochemical Research Methods
David A. Feinberg, Alexander J. S. Beckett, An T. Vu, Jason Stockmann, Laurentius Huber, Samantha Ma, Sinyeob Ahn, Kawin Setsompop, Xiaozhi Cao, Suhyung Park, Chunlei Liu, Lawrence L. Wald, Jonathan R. Polimeni, Azma Mareyam, Bernhard Gruber, Ruediger Stirnberg, Congyu Liao, Essa Yacoub, Mathias Davids, Paul Bell, Elmar Rummert, Michael Koehler, Andreas Potthast, Ignacio Gonzalez-Insua, Stefan Stocker, Shajan Gunamony, Peter Dietz
Summary: To increase granularity in human neuroimaging science, a next-generation 7 Tesla magnetic resonance imaging scanner was designed and built. It implemented several hardware advancements to improve spatial resolution, image signal-to-noise ratio, and reduce acquisition time.
Article
Optics
Zhenfei Jiao, Zhou Zhou, Zhongyun Chen, Jinze Xie, Yu Mu, Jiulin DU, Ling Fu
Summary: To understand the functional neural circuits, it is crucial to acquire the firing sequence of neurons at different depths with cellular resolution. The Simple Multi-Plane Imaging Light-Sheet Fluorescence Microscopy (SIMPLE-LSFM) combines multi-plane illumination and spherical-aberration-assisted point spread function to simultaneously image neurons at different depths. This method was successfully demonstrated in capturing the firing sequences of neurons at six depths in larval zebrafish, providing fast and high-resolution mapping of anatomical structure and dynamics.
Article
Optics
Haitang Yang, Esther Y. H. Lin, Kiriakos N. Kutulakos, George V. Eleftheriades
Summary: Super-oscillatory imaging is a technique that can go beyond the diffraction limit. This study provides a comprehensive theoretical analysis and experimental validation of the integration of super-oscillatory imaging into existing microscopes and telescopes, as well as the operational limits of the approach.
Article
Multidisciplinary Sciences
Jean-Claude Besse, Kevin Reuer, Michele C. Collodo, Arne Wulff, Lucien Wernli, Adrian Copetudo, Daniel Malz, Paul Magnard, Abdulkadir Akin, Mihai Gabureac, Graham J. Norris, J. Ignacio Cirac, Andreas Wallraff, Christopher Eichler
NATURE COMMUNICATIONS
(2020)
Article
Physics, Multidisciplinary
P. Magnard, S. Storz, P. Kurpiers, J. Schaer, F. Marxer, J. Luetolf, T. Walter, J-C Besse, M. Gabureac, K. Reuer, A. Akin, B. Royer, A. Blais, A. Wallraff
PHYSICAL REVIEW LETTERS
(2020)
Review
Engineering, Electrical & Electronic
Mohammad Javad Karimi, Alexandre Schmid, Catherine Dehollain
Summary: This paper provides a systematic review and survey of the latest inductive power and data transmission methods for implantable medical devices (IMDs), covering principles, design parameters, power transfer efficiency, optimization methods, and performance comparisons.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Reza Ranjandish, Alexandre Schmid
Summary: This paper explores Walsh-Hadamard based orthogonal sampling of signals for neural recording in multi-channel systems, demonstrating efficient utilization of ADC bandwidth leading to power savings and reduced output data rate.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Computer Science, Hardware & Architecture
Reza Ranjandish, Taekwang Jang, Alexandre Schmid
Summary: This paper introduces a novel charge controlling circuit technique to integrate a charge balancer circuit in electrical neural stimulators, aiming to reduce area and power consumption, while providing stable charge balancing throughout the stimulation parameters.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
(2022)
Editorial Material
Neurosciences
Alexandre Schmid, Takashi Tokuda, Ming-Dou Ker
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Engineering, Biomedical
Keyvan Farhang Razi, Alexandre Schmid
Summary: An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low-power wearable/implantable applications, is proposed. The detector employs a novel feature ranking algorithm and a patient-specific data reduction technique to extract the most informative features and reduce computational complexity. The FPGA implementation results demonstrate excellent sensitivity and remarkable specificity and detection delay improvement compared to the state-of-the-art.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Javad Karimi, Catherine Dehollain, Alexandre Schmid
Summary: Effective power management is essential for wirelessly powered implants to have a long operational lifetime, ensuring optimized power and preventing damage. This brief introduces a power feedback control unit for wirelessly powered biomedical devices, including an implanted voltage level detector and limiter. The feedback control bits can be transmitted as uplink data or used autonomously to prevent overvoltage. The system is implemented in a 180 nm CMOS process, consuming 144 μW at a supply voltage of 1.8 V and a chip area of 0.02255 mm(2).
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Mohammad Javad Karimi, Yuxuan Zhou, Catherine Dehollain, Alexandre Schmid
Summary: This paper proposes an analysis method for wirelessly-powered implants to efficiently provide the required power and data communication for multiple implants. The concept of using different operation frequencies and employing ASK and LSK for data transmission is also introduced.
PRIME 2022: 17TH INTERNATIONAL CONFERENCE ON PHD RESEARCH IN MICROELECTRONICS AND ELECTRONICS
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
David Palomeque-Mangut, Alexandre Schmid, Angel Rodriguez-Vazquez, Manuel Delgado-Restituto
Summary: This paper proposes a system that can transfer both mW-power and Mbps-data over an inductive link using a single pair of coils. The system utilizes a load adapter block to divide the operation into power transfer and data transfer phases, ensuring flexibility for various loads. This solution allows for minimizing the overall size of neural implants while maintaining reliable data communication.
PRIME 2022: 17TH INTERNATIONAL CONFERENCE ON PHD RESEARCH IN MICROELECTRONICS AND ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastian Veeling, Alexandre Schmid, Ruud J. G. van Sloun
Summary: This paper proposes a flexible pruning mechanism that allows pruning at different granularities while maintaining efficient memory organization. The mechanism employs dynamic probabilistic pruning (DPP) algorithm based on the Gumbel-softmax relaxation for differentiable k-out-of-n sampling. Experimental results show that DPP achieves competitive compression ratios and classification accuracy in various image classification benchmark datasets. Additionally, the dynamic masking of DPP enables joint optimization of pruning and weight quantization for further network compression. The paper also introduces novel information-theoretic metrics to assess the confidence and diversity of pruning masks within a layer.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Proceedings Paper
Computer Science, Information Systems
Lizeth Gonzalez-Carabarin, Alexandre Schmid, Ruud J. G. Van Sloun
Summary: The study utilized a hardware-oriented pruning approach to effectively reduce the memory footprint of Deep Learning models for real-time ECG monitoring, achieving compression rates of up to 26.6x while maintaining accuracy, which could potentially advance the use of DL in portable medical solutions.
2021 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (IEEE BIOCAS 2021)
(2021)
Proceedings Paper
Engineering, Biomedical
Keyvan Farhang Razi, Alexandre Schmid
Summary: A novel low-complexity method for detecting epileptic seizures from iEEG signals is proposed, utilizing patient-specific features. The detection stage is activated only when a seizure is detected during the monitoring stage. The proposed seizure detector outperforms other algorithms in terms of sensitivity, specificity, and DAR.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
Proceedings Paper
Quantum Science & Technology
D. Pahl, L. Pahl, E. Mustafa, Z. Liu, P. Fabritius, J. Mohan, P. Clements, A. Akin, T. Esslinger
Summary: This article presents a flexible and scalable design for an analog signal generator to address the precision and stability requirements of electronics in quantum experiments. The design is based on an FPGA development board and custom DAC board, which receive data from a master PC via TCP/IP, program waveform and sampling rate information, and transmit data to the DAC board using DMA and SPI modules.
2021 IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING (QCE 2021) / QUANTUM WEEK 2021
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Alexandre Schmid
Summary: Implantable electronic medical devices operating in closed-loop enable efficient neuro-modulation, with a careful balance between area and power for improved system autonomy and safety. New digital modulation schemes like Hadamard encoding and compressed sensing implemented in the front-end signal acquisition aim to enhance efficiency in multi-channel neural recorders.
2021 SILICON NANOELECTRONICS WORKSHOP (SNW)
(2021)
