检索结果-内蒙古大学图书馆

Cross-system biological image quality enhancement based on the generative adversarial network as a foundation for establishing a multi-institute microscopy cooperative network

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Panek, Dominik Rząca, Carina Szczypior, Maksymilian Sorysz, Joanna Misztal, Krzysztof Baster, Zbigniew Rajfur, Zenon Doctoral School of Exact and Natural Sciences Jagiellonian University ul. Lojasiewicza 11 Kraków30-348 Poland Department of Molecular and Interfacial Biophysics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30‑348 Poland Undergraduate Program in Biophysics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30‑348 Poland Undergraduate program in Biomedical Engineering Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Al. A. Mickiewicza 30 Building B-1 Kraków30-059 Poland Division of Computational Mathematics Faculty of Mathematics and Computer Science Jagiellonian University 6 Lojasiewicza St. Kraków Poland

High-quality fluorescence imaging of biological systems is limited by processes like photobleaching and phototoxicity, and also in many cases, by limited access to the latest generations of microscopes. Moreover, low temporal resolution can lead to a motion blur effect in living systems. Our work presents a deep learning (DL) generative-adversarial approach to the problem of obtaining high-quality (HQ) images based on their low-quality (LQ) equivalents. We propose a generative-adversarial network (GAN) for contrast transfer between two different separate microscopy systems: a confocal microscope (producing HQ images) and a wide-field fluorescence microscope (producing LQ images). Our model proves that such transfer is possible, allowing us to receive HQ-generated images characterized by low mean squared error (MSE) values, high structural similarity index (SSIM), and high peak signal-to-noise ratio (PSNR) values. For our best model in the case of comparing HQ-generated images and HQ-ground truth images, the median values of the metrics are 6·10-4, 0.9413, and 31.87, for MSE, SSIM, and PSNR, respectively. In contrast, in the case of comparison between LQ and HQ ground truth median values of the metrics are equal to 0.0071, 0.8304, and 21.48 for MSE, SSIM, and PSNR respectively. Therefore, we observe a significant increase ranging from 14% to 49% for SSIM and PSNR respectively. These results, together with other single-system cross-modality studies, provide proof of concept for further implementation of a cross-system biological image quality enhancement. © 2024, CC BY-SA.

关键词： Fluorescence imaging

A Neuroimaging Yolov8-Based Cad Framework for Anosmia Grading in Covid-19

学校读者我要写书评

暂无评论

A Neuroimaging Yolov8-Based Cad Framework for Anosmia Gradin...

IEEE International Conference on Image Processing

作者： Hossam Magdy Balaha Mayada Elgendy Ahmed Alksas Mohamed Shehata Norah Saleh Alghamdi Fatma Taher Mohammed Ghazal Mahitab Ghoneim Eslam Hamed Fatma Sherif Ahmed Elgarayhi Mohammed Sallah Mohamed Abdelbadie Salem Elsharawy Kamal Harpal Sandhu Ayman El-Baz Department of Bioengineering J.B. Speed School of Engineering University of Louisville Louisville USA Physics Department Applied Theoretical Physics Research Group Faculty of Science Mansoura University Egypt Department of Computer Sciences College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Saudi Arabia The College of Technological Innovation Zayed University Dubai UAE Electrical Computer and Biomedical Engineering Depatrment Abu Dhabi University UAE Department of Radiology Faculty of Medicine Mansoura University Egypt Otolaryngology Department Faculty of Medicine Mansoura University Egypt Department of Physics College of Sciences University of Bisha Saudi Arabia

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

COVID-19, a respiratory illness caused by SARS-CoV-2, has brought attention to a common symptom: loss of smell and taste. Anosmia, a prevalent symptom of COVID-19, varies in severity from mild to severe, necessitating accurate diagnostic tools. The study proposes a novel framework for predicting COVID-19 anosmia severity utilizing YOLOv8 for classification and EigenCAM for interpretability. YOLOv8, optimized for object detection, is adapted for classification tasks using advanced architectural enhancements and mosaic augmentation. EigenCAM provides interpretability by highlighting image regions crucial for predictions, aiding clinical decision-making. Evaluation across multiple YOLOv8 model sizes using DTI and FLAIR modalities reveals robust performance, with the Large model excelling in DTI and the Nano model in FLAIR. Compared to our previous work, the framework significantly enhances accuracy and interpretability in predicting anosmia severity, marking a substantial advancement in medical image analysis. This study underscores the potential of deep learning for precise and interpretable medical diagnostics, offering insights into anosmia severity prediction.

关键词： COVID-19 Deep learning Solid modeling Adaptation models Accuracy Robustness Medical diagnosis

Mimicking synaptic plasticity with wedged Pt/Co/Pt spin-orbit torque device

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Chen, Shiwei Mishra, Rahul Chen, Huanjian Yang, Hyunsoo Qiu, Xuepeng Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology School of Physics Science and Engineering Tongji University Shanghai200092 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore Centre for Applied Research in Electronics Indian Institute of Technology Delhi New Delhi110016 India

We fabricated a wedge shape of Pt/Co/Pt device with perpendicular magnetic anisotropy and manifested that the Co magnetization can be solely switched by spin-orbit torque without any magnetic field. Similar to the synaptic weight, we observed that the state of Co magnetization (presented by the anomalous Hall resistance RH) of wedged Pt/Co/Pt device can be tuned continuously with a large number of nonvolatile levels by applied pulse currents. Furthermore, we have studied the synaptic plasticity of wedged Pt/Co/Pt device, including the excitatory postsynaptic potentials (EPSP) or inhibitory postsynaptic potentials (IPSP) and spiking-time-dependent plasticity (STDP). The work elucidates the promise of wedged Pt/Co/Pt device as a candidate for new type of artificial synaptic devices induced by spin current and paving a substantial pathway towards the combination of spintronics and synaptic devices. Copyright © 2024, The Authors. All rights reserved.

关键词： Magnetic anisotropy

Vortex Beams on Incoherent Background

学校读者我要写书评

暂无评论

Vortex Beams on Incoherent Background

Photonics North

作者： Zhiheng Xu Morteza Hajati Yangjian Cai Sergei Popov Chunhao Liang Sergey A. Ponomarenko Shandong Provincial Engineering and Technical Center of Light Manipulation & Shandong Provincial Key Laboratory of Optics and Photonic Devices School of Physics and Electronics Shandong Normal University Jinan China Department of Electrical and Computer Engineering Dalhousie University Halifax Nova Scotia Canada Department of Applied Physics KTH Royal Institute of Technology Stockholm Sweden

We introduce a novel class of structured random beams carrying orbital angular momentum on incoherent background. We confirm that such beams maintain their vortex structure in free space and manifest robust behavior a...

关键词：

electrically-controlled Varifocal and Bifocal-Bicolor Metalenses Embedded in a Liquid Crystal

学校读者我要写书评

暂无评论

Electrically-controlled Varifocal and Bifocal-Bicolor Metale...

Conference on Lasers and Electro-Optics (CLEO)

作者： Melissa Bosch Maxim R. Shcherbakov Kanghee Won Hong-Seok Lee Gennady Shvets Department of Physics Cornell University Ithaca NY USA Department of Electrical Engineering and Computer Science University of California Irvine CA USA Samsung Electronics Co. Ltd. Samsung Advanced Institute of Technology (SAIT) Suwon-si Republic of Korea School of Applied and Engineering Physics Cornell University Ithaca NY USA

We demonstrate highly-compact multifunctional zoom components based on low-loss all-dielectric metasurfaces integrated with liquid crystals (LCs). These devices could find use in next-generation imaging systems includ... 详细信息

ISBN: (纸本)9781957171258

关键词： Aberration correction Cameras Imaging systems Laser imaging Liquid crystals Resonant modes

SCORE: A Second-Order Conic Initialization for Range-Aided SLAM

学校读者我要写书评

暂无评论

SCORE: A Second-Order Conic Initialization for Range-Aided S...

IEEE International Conference on Robotics and Automation (ICRA)

作者： Alan Papalia Joseph Morales Kevin J. Doherty David M. Rosen John J. Leonard Computer Science and Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology (MIT) Cambridge MA USA Department of Applied Ocean Physics & Engineering Woods Hole Oceanographic Institution Woods Hole MA USA Department of Electrical & Computer Engineering Northeastern University Boston MA USA Department of Math Northeastern University Boston MA USA

We present a novel initialization technique for the range-aided simultaneous localization and mapping (RA-SLAM) problem. In RA-SLAM we consider measurements of point-to-point distances in addition to measurements of rigid transformations to landmark or pose variables. Standard formulations of RA-SLAM approach the problem as non-convex optimization, which requires a good initialization to obtain quality results. The initialization technique proposed here relaxes the RA-SLAM problem to a convex problem which is then solved to determine an initialization for the original, non-convex problem. The relaxation is a second-order cone program (SOCP), which is derived from a quadratically constrained quadratic program (QCQP) formulation of the RA-SLAM problem. As a SOCP, the method is highly scalable. We name this relaxation Second-order COnic RElaxation for RA-SLAM (SCORE). To our knowledge, this work represents the first convex relaxation for RA-SLAM. We present real-world and simulated experiments which show SCORE initialization permits the efficient recovery of quality solutions for a variety of challenging single- and multi-robot RA-SLAM problems with thousands of poses and range measurements.

关键词：

Boosted Topological Zero Modes in Elastomer Waveguide Arrays

学校读者我要写书评

暂无评论

Boosted Topological Zero Modes in Elastomer Waveguide Arrays

Frontiers in Optics, FiO 2022

作者： Frank, Angelina Leykam, Daniel Smirnova, Daria A. Angelakis, Dimitris G. Ling, Alexander Centre for Quantum Technologies National University of Singapore 3 Science Drive 2 Singapore117543 Singapore Nonlinear Physics Centre Research School of Physics Australian National University CanberraACT2601 Australia Institute of Applied Physics Russian Academy of Science Nizhny Novgorod603950 Russia School of Electrical and Computer Engineering Technical University of Crete Chania73100 Greece Department of Physics National University of Singapore 2 Science Drive 3 Singapore117551 Singapore

We demonstrate boosted topological zero modes in a strain-tuneable photonic polymer waveguide array. Modulating the topological defect speed illustrates the varying localization of the light field. Theoretical predict...

ISBN: (纸本)9781557528209

关键词：

mcLARO: Multi-Contrast Learned Acquisition and Reconstruction Optimization for simultaneous quantitative multi-parametric mapping

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Zhang, Jinwei Nguyen, Thanh D. Solomon, Eddy Li, Chao Zhang, Qihao Li, Jiahao Zhang, Hang Spincemaille, Pascal Wang, Yi Department of Biomedical Engineering Cornell University IthacaNY United States Department of Radiology Weill Cornell Medicine New YorkNY United States Department of Electrical and Computer Engineering Cornell University IthacaNY United States Department of Applied Physics Cornell University IthacaNY United States

Purpose: To develop a method for rapid sub-millimeter T1, T2, T2* and QSM mapping in a single scan using multi-contrast Learned Acquisition and Reconstruction Optimization (mcLARO). Methods: A pulse sequence was developed by interleaving inversion recovery and T2 magnetization preparations and single-echo and multi-echo gradient echo acquisitions, which sensitized k-space data to T1, T2, T2* and magnetic susceptibility. The proposed mcLARO used a deep learning framework to optimize both the multi-contrast k-space under-sampling pattern and the image reconstruction based on image feature fusion. The proposed mcLARO method with R = 8 under-sampling was validated in a retrospective ablation study using fully sampled data as reference and evaluated in a prospective study using separately acquired conventionally sampled quantitative maps as reference standard. Results: The retrospective ablation study showed improved image sharpness of mcLARO compared to the baseline network without multi-contrast sampling pattern optimization or image feature fusion, and negligible bias and narrow 95% limits of agreement on regional T1, T2, T2* and QSM values were obtained by the under-sampled reconstructions compared to the fully sampled reconstruction. The prospective study showed small or negligible bias and narrow 95% limits of agreement on regional T1, T2, T2* and QSM values by mcLARO (5:39 mins) compared to reference scans (40:03 mins in total). Conclusion: mcLARO enabled fast sub-millimeter T1, T2, T2* and QSM mapping in a single scan. © 2023, CC BY.

关键词： Mapping

Harnessing micro-Fabry-Perot reference cavities in photonic integrated circuits

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Cheng, Haotian Xiang, Chao Jin, Naijun Kudelin, Igor Guo, Joel Heyrich, Matthew Liu, Yifan Peters, Jonathan Ji, Qing-Xin Zhou, Yishu Vahala, Kerry J. Quinlan, Franklyn Diddams, Scott A. Bowers, John E. Rakich, Peter T. Department of Applied Physics Yale University New HavenCT06520 United States Department of Electrical and Computer Engineering University of California Santa Barbara Santa BarbaraCA93106 United States Department of Electrical and Electronic Engineering Hong Kong University of Colorado BoulderCO80309 United States Department of Physics University of Colorado Boulder 440 UCB BoulderCO80309 United States National Institute of Standards and Technology 325 Broadway BoulderCO80305 United States T. J. Watson Laboratory of Applied Physics California Institute of Technology PasadenaCA91125 United States

Compact photonic systems that offer high frequency stability and low noise are of increasing importance to applications in precision metrology, quantum computing, communication, and advanced sensing technologies. However, on-chip resonators comprised of dielectrics cannot match the frequency stability and noise characteristics of Fabry-Perot cavities, whose electromagnetic modes live almost entirely in vacuum. In this study, we present a novel strategy to interface micro-fabricated Fabry-Perot cavities with photonic integrated circuits to realize compact, high-performance integrated systems. Using this new integration approach, we demonstrate self-injection locking of an on-chip laser to a milimeter-scale vacuum-gap Fabry-Perot using a circuit interface that transforms the reflected cavity response to enable efficient feedback to the laser. This system achieves a phase noise of -97 dBc/Hz at 10 kHz offset frequency, a fractional frequency stability of 5×10-13 at 10 ms, a 150 Hz 1/π integral linewidth, and a 35 mHz fundamental linewidth. We also present a complementary integration strategy that utilizes a vertical emission grating coupler and a back-reflection cancellation circuit to realize a fully co-integrated module that effectively redirects the reflected signals and isolates back-reflections with a 10 dB suppression ratio, readily adaptable for on-chip PDH locking. Together, these demonstrations significantly enhance the precision and functionality of RF photonic systems, paving the way for continued advancements in photonic applications. © 2024, CC BY-NC-ND.

关键词： Frequency stability