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Multi-parameter ultrasound imaging for musculoskeletal tissues based on a physics informed generative adversarial network

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Chinese Physics B 2025年第4期34卷 442-455页

作者： Pengxin Wang Heyu Ma Tianyu Liu Chengcheng Liu Dan Li Dean Ta Institute of Biomedical Engineering&Technology Academy for Engineering and TechnologyFudan UniversityShanghai 200433China State Key Laboratory of Integrated Chips and Systems Fudan UniversityShanghai 201203China Department of Electronic Engineering School of Information Science and TechnologyFudan UniversityShanghai 200438China Department of Biomedical Engineering School of Information Science and TechnologyFudan UniversityShanghai 200438China

Full waveform inversion(FWI)has showed great potential in the detection of musculoskeletal ***,FWI is an ill-posed inverse problem and has a high requirement on the initial model during the imaging *** inaccurate initial model may lead to local minima in the inversion and unexpected imaging results caused by cycle-skipping *** learning methods have been applied in musculoskeletal imaging,but need a large amount of data for *** by work related to generative adversarial networks with physical informed constrain,we proposed a method named as bone ultrasound imaging with physics informed generative adversarial network(BUIPIGAN)to achieve unsupervised multi-parameter imaging for musculoskeletal tissues,focusing on speed of sound(SOS)and *** the in-silico experiments using a ring array transducer,conventional FWI methods and BUIPIGAN were employed for multiparameter imaging of two musculoskeletal tissue *** results were evaluated based on visual appearance,structural similarity index measure(SSIM),signal-to-noise ratio(SNR),and relative error(RE).For SOS imaging of the tibia–fibula model,the proposed BUIPIGAN achieved accurate SOS imaging with best *** specific quantitative metrics for SOS imaging were SSIM 0.9573,SNR 28.70 dB,and RE 5.78%.For the multi-parameter imaging of the tibia–fibula and human forearm,the BUIPIGAN successfully reconstructed SOS and density distributions with SSIM above 94%,SNR above 21 dB,and RE below 10%.The BUIPIGAN also showed robustness across various noise levels(i.e.,30 dB,10 dB).The results demonstrated that the proposed BUIPIGAN can achieve high-accuracy SOS and density imaging,proving its potential for applications in musculoskeletal ultrasound imaging.

关键词： ultrasound image physics informed generative adversarial network musculoskeletal imaging

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Self-powered tactile sensor for real-time recognition of Morse code based on machine learning

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Nano Research 2025年第2期18卷 760-768页

作者： Shenxing Tan Yang Jiang Xujiang Chao Fei Liang Ripeng Li Tao Jiang Hai-Dong Yu Zhong Lin Wang Guangzhou Institute of Blue Energy Guangzhou 510555China Frontiers Science Center for Flexible Electronics Xi'an Institute of Flexible Electronics(IFE)and Xi'an Institute of Biomedical Materials&EngineeringNorthwestern Polytechnical UniversityXi'an 710072China Beijing Key Laboratory of Micro-Nano Energy and Sensor Center for High-Entropy Energy and SystemsBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China School of Nanoscience and Engineering University of Chinese Academy of SciencesBeijing 100049China School of Mechanical Engineering Northwestern Polytechnical UniversityXi’an 710072China School of Computer Science(National Pilot Software Engineering School) Beijing University of Posts and TelecommunicationsBeijing 100876China

Developing lightweight,green,and flexible wearable electronics with high sensitivity and multifunctional sensing capabilities is of important significance in the field of outdoor sports,such as mountaineering,animal tracking and *** work proposes a silk fibroin fibers-based triboelectric nanogenerator(SF TENG)to harvest tiny energy from human fingertip tapping and act as a self-powered tactile *** SF-TENG adopts a green,efficient,and low-cost fabrication strategy,in which a breathable and electropositive silk fibroin fiber membrane and a silver conductive layer are prepared by electrostatic spinning and magnetron sputtering,and combined with a conductive cloth and a breathable tape to form a flexible sensor that can be attached to a human *** thin and soft portable TENG device,having a thickness of only 0.3 mm and a mass of 354 mg at the dimension of 4.5 cm×4.5 cm,can generate a maximum power density of 1.0 mW·m^(–2).Furthermore,the SF-TENG has excellent sensitivity of 1.767 mV·Pa^(–1) with good cyclic *** superior sensing characteristics provide new avenues for Morse code applications toward outdoor wearable autonomous *** proposed SF-TENG offers promising solutions in multi-scenario outdoor sport,human-machine interface interaction,and security systems.

关键词： flexible electronics triboelectric nanogenerator silk fibroin Morse code translation

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Swimming Performance Enhancement of the Magnetic Helical Microrobots Based on Surface Microstructure Modification

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IEEE Robotics and Automation Letters 2025年第6期10卷 5729-5736页

作者： Hou, Yaozhen Bai, Kailun Zhong, Shihao Zheng, Zhiqiang Shi, Qing Huang, Qiang Fukuda, Toshio Li, Fangxing Wang, Huaping Beijing Institute of Technology Intelligent Robotics Institute School of Mechatronical Engineering Beijing100081 China Science and Technology on Space Physics Laboratory Beijing100076 China City University of Hong Kong Department of Biomedical Engineering Hong Kong999077 Hong Kong Nagoya University Department of Micronano Systems Engineering Nagoya464-8603 Japan Beijing Institute of Technology School of Mechatronical Engineering Beijing100081 China Beijing Institute of Technology Affiliated Zhuhai People's Hospital Zhuhai519088 China

Magnetic helical microrobots have attracted considerable attraction in microscale targeted delivery due to their high propulsion efficiency and movement flexibility. However, for biomedical applications in unstructured and multi-branched liquid environments, the capabilities of high swimming performance and precise selective control over a robot group of are essential. Here, we introduce a method for achieving high-performance propulsion and selective control of individual magnetic microrobots within a group by modulating surface wettability through localized surface microstructure modifications. We treated the surface of the helical microrobots with dimples and pimples of varying diameters and spacings to effectively distinguish the wettability. Our findings demonstrate that helical microrobots after surface modification exhibit higher step-out frequencies (ωstep-out) and maximum velocities (vr-max), where the modified microrobots become more hydrophobic compared to the microrobots before modification. The variation of microrobots' step-out frequencies (ωstep-out) and the maximum velocities (vr-max) correlate positively with the surface hydrophobicity. The swimming performance on the surface-modified microrobots is performed which demonstrates a maximum increase of 67% in forward velocity and 76% in step-out frequency. Furthermore, our method was effectively employed to actuate a helical microrobots group to achieve selective navigation in a multi-branched microchannel. We anticipate that this approach can be applied to achieve high-efficiency and precise targeted delivery in biomedical applications. © 2016 IEEE.

关键词： Wetting

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Passive activity enhances residual control ability in patients with complete spinal cord injury

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Neural Regeneration Research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng Rao Guiyun Song Wei Song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of Rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijingChina Department of Rehabilitation Engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

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Three-dimensional terahertz near-field imaging evaluation of cochlea

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Optica 2025年第4期12卷 437-445页

作者： Zheng, Luwei Chen, Haidong Fujita, Takeshi Kakigi, Akinobu Allen, Nicole Murakami, Hironaru Tonouchi, Masayoshi Serita, Kazunori Institute of Laser Engineering Osaka University Osaka Suita5650871 Japan Department of Otolaryngology-Head and Neck Surgery Graduate School of Medicine Kobe University Hyogo Kobe6500017 Japan Department of Biomedical Engineering Georgia Institute of Technology AtlantaGA30332 United States Research Institute for Interdisciplinary Science Okayama University Okayama Okayama7008530 Japan Graduate School of Information Production and Systems Waseda University Fukuoka Kitakyushu8080135 Japan

Hearing impairment has long been a significant challenge, and the ability to perform non-destructive detection of the cochlea's internal structure with sufficient spatial resolution remains a key obstacle. To address this issue effectively, in this study, non-destructive terahertz (THz) imaging of a mouse cochlea was successfully performed to visualize its internal structure using a THz near-field point source microscope with micrometer-level spatial resolution. Internal structural information was easily observed and extracted from two-dimensional THz time-domain images using an unsupervised learning algorithm that applied k-means clustering. Three-dimensional (3D) THz time-of-flight (ToF) imaging and 3D reconstruction were successfully implemented with high reliability and accuracy. These results demonstrate the significant potential of 2D and 3D THz imaging for high-resolution and non-destructive analysis of cochlear inner structures and highlight the feasibility of advanced THz imaging techniques in biological studies. This work is significant because it motivates both the application of imaging in 3D THz ToF and the internal structure reconstruction of biological tissues, paving the way for future applications in medical diagnostics, particularly in the early detection and assessment of hearing-related disorders. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： K-means clustering

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Screening of Chinese giant salamander meat hydrolysates with DPP-Ⅳinhibitory activity and systematic elucidation of their hypoglycemic functions in mouse model

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Food science and Human Wellness 2025年第4期14卷 1305-1317页

作者： Shucheng Li Changge Guan Yi Wang Haihong Chen Wei Li Songjun Wang Chong Zhang Xinhui Xing Key Laboratory for Industrial Biocatalysis Ministry of Education of ChinaDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China School of Life Science and Technology Tokyo Institute of TechnologyYokohama 225-8501Japan Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Henan Giant Salamander Protection and Development Association Luoyang 471000China. Center for Synthetic and Systems Biology Tsinghua UniversityBeijing100084China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 518055China

Type 2 diabetes(T2D)presents a significant health challenge,underscoring the need for functional foods and nutraceutical hypoglycemic bioactive peptides for its *** study investigates the potential of proteolytic hydrolysate from artificially cultivated Chinese giant salamander(CGS)meat,a rich protein source,as a preventive strategy for *** produced a CGS meat hydrolysate(CGSh)and demonstrated its ability to inhibit the T2D drug target dipeptidyl peptidaseⅣ(DPP-Ⅳ)through in vitro *** identified 5 peptides(WRPPDH,WAPPSKD,IPDSPF,IPEMIF,and VPIAVPT)with high DPP-Ⅳinhibitory activity in CGSh,suggesting its potential antidiabetic *** vivo experiments showed that CGSh effectively reduced insulin resistance in mice induced with a high-fat diet,as evidenced by a slower increase in blood glucose levels and a decreased HOMA-IR index.16S rRNA sequencing analysis revealed that CGSh improved gut microbial homeostasis,promoting beneficial microorganisms and reducing harmful *** analyses identified an increase in valeric acid levels and highlighted nine potential biomarker *** inhibiting metabolic pathways such as AGE-RAGE,CGSh might also prevent diabetic complications and reduce *** findings suggest that CGSh has a promising hypoglycemic effect,making it a potential functional food ingredient for T2D prevention and treatment.

关键词： Chinese giant salamander Hypoglycemic effects Bioactive peptides Dipeptidyl dipeptidaseⅣ Multi-omics analysis

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engineering of Fe d-band center in Fe_(3)O_(4)/CeO_(2)hetero-nanoparticles via orbital coupling for high-efficiency oxygen reduction electrocatalysis

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Nano Research 2025年第1期18卷 129-139页

作者： Jiayi Liu Jingwen Yin Yingzi Lin Mingxin Pang Huan Pang Songtao Zhang Lin Xu Jun Yang Yawen Tang Jiangsu Key Laboratory of New Power Batteries Jiangsu Collaborative Innovation Center of Biomedical Functional MaterialsSchool of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023Chin a 2 State Key Laboratory of Multiphase Complex Systems Center of MesoscienceInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225009China Testing Center Yangzhou UniversityYangzhou 225009China

The deliberate engineering of the d-band center of metal site represents an effective strategy to boost the intrinsic electrocatalytic performance toward the oxygen reduction reaction(ORR).Herein,following a heterointerfaceinduced orbital coupling rationale,we report a judicious design of an efficient ORR electrocatalyst consisting of Fe_(3)O_(4)/CeO_(2)hetero-nanoparticles in-situ encased into N-doped carbon nanofibers(abbreviated as Fe_(3)O_(4)/CeO_(2)@N-CNFs hereafter).The theoretic calculations uncover that the Fe_(3)O_(4)/CeO_(2)heterointerface-triggered orbital coupling can cause the down shift of the d-band center positions of Fe sites,which leads to the weakened chemisorption of oxygenated groups and lowered energy barrier for the potential-determining step,ultimately dramatically boosting the ORR intrinsic *** a consequence,the well-designed Fe_(3)O_(4)/CeO_(2)@N-CNFs display admirable ORR activity with a half-wave potential of 0.84 V and outstanding structural/electrochemical stability in an alkaline electrolyte,surpassing the commercial Pt/C benchmark and a majority of recently reported Fe_(3)O_(4)-based *** encouragingly,the Fe_(3)O_(4)/CeO_(2)@N-CNFsincorporated Zn-air battery outperforms the Pt/C-assembled counterpart with higher power density,larger energy density,and excellent cycling stability,serving as a competent candidate for ORR-involved renewable energy *** study offers an innovative approach for the rational manipulation of the d-band center and interfacial electron behavior of active sites toward the optimization of electrocatalytic performance.

关键词： hetero-nanoparticles electrospinning interfacial engineering orbital coupling oxygen reduction reaction

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Hybrid Blockchain and IoT Driven Framework for Supply Chain Optimization by Enhancing Transparency, Efficiency and Cost Reduction 3

Hybrid Blockchain and IoT Driven Framework for Supply Chain ...

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3rd International Conference on Electronics and Renewable systems, ICEARS 2025

作者： Pradeep Kumar, S. Basha, C.H. Hussaian Prasath, C. Arun Amirthayogam, G. Lathif, Syed Ismail Abdul Leelavathi, R. Rajalakshmi Engineering College Computer Science Design Department Thandalam Chennai602105 India Sr University Department of Electrical and Electronics Engineering Warangal506371 India Mahendra Engineering College Department of Ece Namakkal637503 India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology School of Computing Department of Computer Science and Engineering Chennai600062 India Srm Institute of Science and Technology Department of Data Science and Business Systems Chennai603203 India Velalar College of Engineering and Technology Department of Biomedical Engineering Erode638012 India

ISBN: (纸本)9798331509675

Blockchain technology represents a modern supply chain management revolution which fixes operational challenges while providing enhanced transparency at reduced costs. The research develops HB-SCOF (Hybrid Blockchain-Enabled Supply Chain Optimization Framework) which combines blockchain self-verification databases with automatic smart contracts to maintain continuous supply chain observation and evaluate data credibility. The framework integrates tamper-proof transaction tracking mechanisms with unified supply chain network connectivity for securing data transmission as a trust delivery method through unbreakable shared databases. The retail-industry case study demonstrated a 25% decrease in expenses stemming from agency elimination alongside enhanced flow management and better stock distribution. The system demonstrates its effectiveness through assessments of key performance indicators including transaction speed and data accuracy together with business cost efficiency. This part looks at implementation methods through training stakeholders in addition to transforming organizational policies which produce successful outcomes. Blockchain technology labs verify its capability to enhance supply chain management efficiency while showing realistic deployment methods. © 2025 IEEE.

关键词： Smart contract

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Fluorescence imaging through scattering media with robust matrix factorization 15

Fluorescence imaging through scattering media with robust ma...

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biomedical Light Scattering XV 2025

作者： Gao, Zijun Ling, Zhi Liu, Wenhao Han, Keyi Hua, Xuanwen Jia, Shu Laboratory for Systems Biophotonics Georgia Institute of Technology AtlantaGA30332 United States Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University AtlantaGA30332 United States Parker H. Petit Institute for Bioengineering and Biosciences Georgia Institute of Technology AtlantaGA30332 United States School of Materials Science and Engineering Georgia Institute of Technology AtlantaGA30332 United States George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology AtlantaGA30332 United States

ISBN: (纸本)9781510683884

The applications of fluorescence microscopy are greatly limited when the target is obscured by scattering in biological tissues. Extracting meaningful features from random speckle patterns is crucial for achieving high-quality imaging through scattering media. In this work, we present RNP, a deterministic framework that utilizes sparse representation to extract object features from scattering speckles amid strong background disturbances, enabling high-quality reconstruction under challenging conditions. This framework was demonstrated on a standard epi-fluorescence microscopy platform using various samples, achieving a large reconstruction field of view, an extended depth of field, and enhanced image clarity. We anticipate that RNP will emerge as a promising tool for advancing non-invasive scattering imaging in biological research. © 2025 SPIE.

关键词： Fluorescence microscopy

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Dimensionality and dynamics for next-generation artificial neural networks

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Patterns 2025年

作者： Wang, Ge Fan, Feng-Lei Department of Biomedical Engineering Department of Electrical Computer and Systems Engineering Department of Computer Science Center for Computational Innovations Biomedical Imaging Center Center for Biotechnology and Interdisciplinary Studies Rensselaer Polytechnic Institute TroyNY United States Department of Data Science City University of Hong Kong Kowloon Hong Kong

The recent awarding of the Nobel Prize in Physics to Geoffrey E. Hinton and John J. Hopfield highlights their profound impact on artificial neural networks. In this perspective, we explore how their foundational insights can drive the advancement of next-generation artificial intelligence (AI) models. We propose expanding beyond conventional architectures by introducing dimensionality through intra-layer links and dynamics via feedback loops. Network height and additional dimensions, alongside traditional width and depth, enhance learning capabilities, while entangled loops across scales induce emergent behaviors akin to phase transitions in physics. We discuss how these principles extend beyond transformers, fostering a new paradigm of intelligence inspired by physics-driven models and biological cognition mechanisms. © 2025 The Author(s)

关键词： Neural network models

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