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3D-Printed proangiogenic patches of photo-crosslinked gelatin and polyurethane hydrogels laden with vascular cells for treating vascular ischemic diseases

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Biomaterials 2024年 309卷 122600-122600页

作者： Shih, Yu-Tsung Cheng, Kun-Chih Ko, Yi-Ju Lin, Chia-Yu Wang, Mei-Cun Lee, Chih-I Lee, Pei-Ling Qi, Rong Chiu, Jeng-Jiann Hsu, Shan-hui Department of Anatomy and Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Institute of Polymer Science and Engineering National Taiwan University Taipei Taiwan Institute of Cellular and System Medicine National Health Research Institutes Miaoli Taiwan Department of Pharmacology School of Basic Medical Sciences Peking University Health Science Center State Key Laboratory of Vascular Homeostasis and Remodeling NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems State Key Laboratory of Natural and Biomimetic Drugs Peking University Beijing China College of Medical Science and Technology Taipei Heart Institute Taipei Medical University Taipei Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu Taiwan

engineering vascularized tissues remains a promising approach for treating ischemic cardiovascular diseases. The availability of 3D-bioprinted vascular grafts that induce therapeutic angiogenesis can help avoid necrosis and excision of ischemic tissues. Here, using a combination of living cells and biodegradable hydrogels, we fabricated 3D-printed biocompatible proangiogenic patches from endothelial cell-laden photo-crosslinked gelatin (EC-PCG) bioink and smooth muscle cell-encapsulated polyurethane (SMC-PU) bioink. Implantation of 3D-bioprinted proangiogenic patches in a mouse model showed that EC-PCG served as an angiogenic capillary bed, whereas patterned SMC-PU increased the density of microvessels. Moreover, the assembled patterns between EC-PCG and SMC-PU induced the geometrically guided generation of microvessels with blood perfusion. In a rodent model of hindlimb ischemia, the vascular patches rescued blood flow to distal tissues, prevented toe/foot necrosis, promoted muscle remodeling, and increased the capillary density, thereby improving the heat-escape behavior of ischemic animals. Thus, our 3D-printed vascular cell-laden bioinks constitute efficient and scalable biomaterials that facilitate the engineering of vascular patches capable of directing therapeutic angiogenesis for treating ischemic vascular diseases. © 2024 Elsevier Ltd

关键词： Polyurethanes

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Privacy-Preserving Brain-Computer Interfaces: A Systematic Review

arXiv

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arXiv 2024年

作者： Xia, Kun Duch, Wlodzislaw Sun, Yu Xu, Kedi Fang, Weili Luo, Hanbin Zhang, Yi Sang, Dong Xu, Xiaodong Wang, Fei-Yue Wu, Dongrui The Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Zhejiang Lab Hangzhou311121 China The Department of Informatics School of Physics Astronomy and Informatics Neurocognitive Laboratory Center for Modern Interdisciplinary Technologies Nicolaus Copernicus University Torun Poland The Ministry of Education Key Laboratory for Biomedical Engineering Zhejiang University Hangzhou China The Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou China Department of Biomedical Engineering Zhejiang University Hangzhou China The School of Civil and Hydraulic Engineering Huazhong University of Science and Technology Wuhan430074 China The College of Public Administration Huazhong University of Science and Technology Wuhan430074 China The NetsUnion Clearing Corporation Beijing100045 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100049 China

A brain-computer interface (BCI) establishes a direct communication pathway between the human brain and a computer. It has been widely used in medical diagnosis, rehabilitation, education, entertainment, etc. Most research so far focuses on making BCIs more accurate and reliable, but much less attention has been paid to their privacy. Developing a commercial BCI system usually requires close collaborations among multiple organizations, e.g., hospitals, universities, and/or companies. Input data in BCIs, e.g., electroencephalogram (EEG), contain rich privacy information, and the developed machine learning model is usually proprietary. Data and model transmission among different parties may incur significant privacy threats, and hence privacy protection in BCIs must be considered. Unfortunately, there does not exist any contemporary and comprehensive review on privacy-preserving BCIs. This paper fills this gap, by describing potential privacy threats and protection strategies in BCIs. It also points out several challenges and future research directions in developing privacy-preserving BCIs. © 2024, CC BY.

关键词： Differential privacy

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Modeling and Design of Periodic Polygonal Lattices Constructed from Microstructures with Varying Curvatures

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Physical Review Applied 2022年第4期17卷 044032-044032页

作者： Le Dong Dong Wang Jinqiang Wang Chengru Jiang Hui Wang Biao Zhang Mao See Wu Guoying Gu Robotics Institute and State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China Frontiers Science Center for Flexible Electronics (FSCFE) Xi’an Institute of Flexible Electronics (IFE) and Xi’an Institute of Biomedical Materials & Engineering (IBME) Northwestern Polytechnical University 127 West Youyi Road Xi’an 710072 China School of Mechanical and Aerospace Engineering Nanyang Technological University 50 Nanyang Avenue 639798 Singapore

Lattice structures can exhibit unusual mechanical properties by appropriate design and arrangement of the microstructures, and have already found applications in areas such as tissue engineering, stretchable electronics, and soft robotics. However, the designed microstructures generally follow simple geometric patterns with constant curvatures and theoretical models are developed for each geometry particularly. It lacks a universal method to model and design the periodic lattice constructed from microstructures with varying curvatures. In this paper, we develop a universal approach to design polygonal lattices with a wide range of microstructures with varying curvatures using instant curvature and parametric functions. A finite deformation model is proposed for the microstructures and the corresponding lattices, which considers the wavy or curled microstructure, hierarchical geometry, and large deformation. Experiments and finite-element simulations are conducted to validate the theoretical model. All of Young’s modulus, stretchability, and Poisson’s ratio can be inversely designed using the developed theoretical model. Results show that the stretchability of the highly stretchable lattice can be further increased by more than 4 times using densely curled microstructure. The signs of Poisson’s ratio can also change with the axial strain by rationally designing the microstructures. By combining curve fitting and curvature and parametric functions, the mechanical behaviors of lattices constructed by bioinspired microstructures can also be predicted. The lattice structures are then demonstrated to reinforce a hydrogel with modulus increased by around 2 orders and act as a biomimetic soft-strain sensor. This work could aid the design of a hierarchical lattice and have potential applications in tissue engineering, stretchable electronics, and soft robotics.

关键词： Biomimetic & bio-inspired materials Devices Elastic deformation Flexible electronics Mechanical metamaterials Origami & Kirigami Strain Smart materials

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Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

arXiv

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arXiv 2022年

作者： Li, Qi Shen, Ziyi Li, Qian Barratt, Dean C. Dowrick, Thomas Clarkson, Matthew J. Vercauteren, Tom Hu, Yipeng Centre for Medical Image Computing Wellcome/EPSRC Centre for Interventional and Surgical Sciences Department of Medical Physics and Biomedical Engineering University College London London United Kingdom State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China School of Biomedical Engineering & Imaging Sciences King’s College London London United Kingdom

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a tracker can be advantageous over its two-dimensional or tracked counterparts in many clinical applications. In this paper, we propose to estimate 3D spatial transformation between US frames from both past and future 2D images, using feed-forward and recurrent neural networks (RNNs). With the temporally available frames, a further multitask learning algorithm is proposed to utilise a large number of auxiliary transformation-predicting tasks between them. Using more than 40,000 US frames acquired from 228 scans on 38 forearms of 19 volunteers in a volunteer study, the hold-out test performance is quantified by frame prediction accuracy, volume reconstruction overlap, accumulated tracking error and final drift, based on ground-truth from an optical tracker. The results show the importance of modelling the temporal-spatially correlated input frames as well as output transformations, with further improvement owing to additional past and/or future frames. The best performing model was associated with predicting transformation between moderately-spaced frames, with an interval of less than ten frames at 20 frames per second (fps). Little benefit was observed by adding frames more than one second away from the predicted transformation, with or without LSTM-based RNNs. Interestingly, with the proposed approach, explicit within-sequence loss that encourages consistency in composing transformations or minimises accumulated error may no longer be required. The implementation code and volunteer data1 will be made publicly available ensuring reproducibility and further research. © 2022, CC BY.

关键词： Ultrasonics

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Mechanical activation of spike fosters SARS-CoV-2 viral infection

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细胞研究（英文版） 2021年第10期31卷 1047-1060页

作者： Wei Hu Yong Zhang Panyu Fei Tongtong Zhang Danmei Yao Yufei Gao Jia Liu Hui Chen Qiao Lu Tenny Mudianto Xinrui Zhang Chuxuan Xiao Yang Ye Qiming Sun ling Zhang Qi Xie Pei-Hui Wang Jun Wang Zhenhai Li Jizhong Lou Wei Chen Department of Cardiology of the Second Affiliated Hospital and Department of Cell Biology Zhejiang University School of MedicineHangzhouZhejiangChina Key Laboratory of RNA Biology CAS Center for Excellence in BiomacromoleculesInstitute of BiophysicsChinese Academy of SciencesBeijingChina Department of Cardiology of the Second Affiliated Hospital and Department of Cell Biology Zhejiang University School of MedicineHangzhouZhejiangChina School of Mechanical Engineering Zhejiang UniversityHangzhouZhejiangChina Department of Cardiology of the Second Affiliated Hospital and Department of Cell Biology Zhejiang University School of MedicineHangzhouZhejiangChina Department of Hepatobiliary and Pancreatic Surgery The Center for Integrated Oncology and Precision MedicineAffiliated Hangzhou First People's HospitalZhejiang University School of MedicineHangzhouZhejiangChina Department of Pathology New York University Grossman School of MedicineNew YorkNYUSA The Laura and Isaac Perlmutter Cancer Center New York University Langone HealthNew YorkNYUSA Department of Pathology New York University Grossman School of MedicineNew YorkNYUSA Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases the MOE Frontier Science Center for Brain Science & Brain-machine IntegrationState Key Laboratory for Modern Optical Instrumentation Key Laboratory for Biomedical Engineering of the Ministry of EducationCollege of Biomedical Engineering and Instrument ScienceZhejiang UniversityHangzhouZhejiangChina Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijingChina Advanced Medical Research Institute Cheeloo College of MedicineShandong UniversityJinanShandongChina Westlake Institute for Advanced Study School of Life SciencesWestlake UniversityHangzhouZhejiangChina Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Institute of Applied Mathematics and MechanicsSchool of Mechanics and Engineering ScienceSh

The outbreak of SARS-CoV-2 (SARS2) has caused a global COVID-19 *** spike protein of SARS2 (SARS2-S) recognizes host receptors,including ACE2,to initiate viral entry in a complex biomechanical ***,we reveal that tensile force,generated by bending of the host cell membrane,strengthens spike recognition of ACE2 and accelerates the detachment of spike's S1 subunit from the S2 subunit to rapidly prime the viral fusion ***,such mechano-activation is fulfilled by force-induced opening and rotation of spike's receptor-binding domain to prolong the bond lifetime of spike/ACE2 binding,up to 4 times longer than that of SARS-S binding with ACE2 under 10 pN force application,and subsequently by force-accelerated S1/S2 detachment which is up to ～103 times faster than that in the no-force ***,the SARS2-S D614G mutant,a more infectious variant,shows 3-time stronger force-dependent ACE2 binding and 35-time faster force-induced S1/S2 *** also reveal that an anti-S1/S2 non-RBD-blocking antibody that was derived from convalescent COVlD-19 patients with potent neutralizing capability can reduce S1/S2 detachment by 3 × 106 times under *** study sheds light on the mechano-chemistry of spike activation and on developing a non-RBD-blocking but S1/S2-locking therapeutic strategy to prevent SARS2 invasion.

关键词： Molecular biology Structural biology

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A Flexible Graphene-Based Antenna for RF Vortex Generation

A Flexible Graphene-Based Antenna for RF Vortex Generation

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IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

作者： Shoudong Gu Zuxian He Xiaolong Wang Volodymyr I. Fesenko Vladimir R. Tuz State Key Laboratory on Integrated Optoelectronics College of Electronic Science and Engineering International Center of Future Science Jilin University Changchun China Department of Electronics Engineering Division of Engineering at Campus Irapuato-Salamanca University of Guanajuato Salamanca Mexico Department of Microwave Electronics Institute of Radio Astronomy of NAS of Ukraine Kharkiv Ukraine School of Radiophysics Biomedical Electronics and Computer Systems V. N. Karazin Kharkiv National University Kharkiv Ukraine

ISBN: (数字)9798350384437

ISBN: (纸本)9798350384444

Electromagnetic waves with orbital angular momentum (OAM) have garnered significant interest by reason of their potential in designing advanced communication systems. This paper reports on a specific design of a flexible graphene-based antenna for RF vortex wave generation. The antenna is composed of a ring-shaped resonator made of a graphene film with high conductivity deposited on a thin polydimethylsiloxane substrate. The graphene film is characterized by greater strength to repeated mechanical bending than metallic counterparts while providing good conductivity of the patch. We use the commercial ANSYS HFSS 3D electromagnetic solver to conduct full-wave numerical simulations of the antenna performances and radiation conditions, simulating the generation of vortex waves at different bending radii of the antenna. The mode purity is evaluated with the use of the spiral spectrum algorithm to reveal the stability of the vortex wave generation by the antenna in bent states. Several pilot samples of the antenna working in the RF band are fabricated and tested. Calculated together with empirical results demonstrate that the flexible antenna can stably generate vortex waves even subjected to either outward or inward bending. The proposed flexible graphene-based antenna has the potential for application in wireless communication systems.

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Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

arXiv

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arXiv 2023年

作者： Li, Qi Shen, Ziyi Li, Qian Barratt, Dean C. Dowrick, Thomas Clarkson, Matthew J. Vercauteren, Tom Hu, Yipeng The UCL Centre for Medical Image Computing The Wellcome/EPSRC Centre for Interventional and Surgical Sciences Department of Medical Physics and Biomedical Engineering University College London LondonWC1E 6BT United Kingdom State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China School of Biomedical Engineering & Imaging Sciences King’s College London LondonWC2R 2LS United Kingdom

Objective: Reconstructing freehand ultrasound in 3D without any external tracker has been a longstanding challenge in ultrasound-assisted procedures. We aim to define new ways of parameterising long-term dependencies, and evaluate the performance. Methods: First, long-term dependency is encoded by transformation positions within a frame sequence. This is achieved by combining a sequence model with a multi-transformation prediction. Second, two dependency factors are proposed, anatomical image content and scanning protocol, for contributing towards accurate reconstruction. Each factor is quantified experimentally by reducing respective training variances. Results: 1) The added long-term dependency up to 400 frames at 20 frames per second (fps) indeed improved reconstruction, with an up to 82.4% lowered accumulated error, compared with the baseline performance. The improvement was found to be dependent on sequence length, transformation interval and scanning protocol and, unexpectedly, not on the use of recurrent networks with long-short term modules;2) Decreasing either anatomical or protocol variance in training led to poorer reconstruction accuracy. Interestingly, greater performance was gained from representative protocol patterns, than from representative anatomical features. Conclusion: The proposed algorithm uses hyperparameter tuning to effectively utilise long-term dependency. The proposed dependency factors are of practical significance in collecting diverse training data, regulating scanning protocols and developing efficient networks. Significance: The proposed new methodology with publicly available volunteer data and code1 for parametersing the long-term dependency, experimentally shown to be valid sources of performance improvement, which could potentially lead to better model development and practical optimisation of the reconstruction application. © 2023, CC BY.

关键词： Ultrasonics

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Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms

arXiv

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arXiv 2025年

作者： Liu, Jingjing Wang, Zhiyong Fan, Xinyu Dadashzadeh, Amirhossein Liu, Honghai Mirmehdi, Majid School of Computer Science University of Bristol United Kingdom State Key Laboratory of Robotics and Systems Harbin Institute of Technology Shenzhen China School of Aerospace Engineering Xiamen University China

Existing 3D human pose estimation methods often suffer in performance, when applied to cross-scenario inference, due to domain shifts in characteristics such as camera viewpoint, position, posture, and body size. Among these factors, camera viewpoints and locations have been shown to contribute significantly to the domain gap by influencing the global positions of human poses. To address this, we propose a novel framework that explicitly conducts global transformations between pose positions in the camera coordinate systems of source and target domains. We start with a Pseudo-Label Generation Module that is applied to the 2D poses of the target dataset to generate pseudo-3D poses. Then, a Global Transformation Module leverages a human-centered coordinate system as a novel bridging mechanism to seamlessly align the positional orientations of poses across disparate domains, ensuring consistent spatial referencing. To further enhance generalization, a Pose Augmentor is incorporated to address variations in human posture and body size. This process is iterative, allowing refined pseudo-labels to progressively improve guidance for domain adaptation. Our method is evaluated on various cross-dataset benchmarks, including Human3.6M, MPI-INF-3DHP, and 3DPW. The proposed method outperforms state-of-the-art approaches and even outperforms the target-trained model. Copyright © 2025, The Authors. All rights reserved.

关键词： Three dimensional computer graphics

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Corrigendum to "Oppositely-charged silver nanoparticles enable selective SERS molecular enhancement through electrostatic interactions" [Spectrochim. Acta Part A: Mol. Biomol. Spectrosc. 322 (2024) 124852]

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Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 2025年 339卷 126218页

作者： Yuqing Gu Siyi Wu Zhewen Luo Linley Li Lin Jian Ye State Key Laboratory of Systems Medicine for Cancer School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 PR China. State Key Laboratory of Systems Medicine for Cancer School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 PR China. Electronic address: linli92@***. State Key Laboratory of Systems Medicine for Cancer School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 PR China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai 200240 PR China Shanghai Key Laboratory of Gynecologic Oncology Ren Ji Hospital School of Medicine Shanghai Jiao Tong University Shanghai PR China. Electronic address: yejian78@***.

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Fiber Bragg Grating-Based Sensor System for Sensing the Shape of Flexible Needles

SSRN

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SSRN 2022年

作者： Zhang, Leifeng Li, Changle Dong, Huijuan Liu, Xiaojing Sun, Tong Grattan, Kenneth T.V. Zhao, Jie State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin150001 China Department of Oral and Maxillofacial Surgery Peking University School and Hospital of Stomatology National Engineering Laboratory for Digital and Material Technology of Stomatology Beijing Key Laboratory of Digital Stomatology Beijing100034 China School of Engineering & Technology City University of London Northampton Square LondonEC1V 0HB United Kingdom

Shape sensing is of importance for the manipulation of flexible needles. In this work, a 0.6 mm diameter stylet with five Fiber Bragg Gratings (FBGs) installed as triplets was designed. A novel model of local curvature is established. A gradient-based optimization method has been integrated into the complete algorithm for shape sensing and this is used to reduce the difference between the midpoint curvature and the mean curvature. The experimental results obtained show that the mean tip errors are 0.35mm, 0.30mm, 0.38mm in the single-bending, double-bending and space-bending experiments, respectively. In a torsion test experiment which was performed, when the rotation angle of the tip was less than 25°, the error seen was less than 0.5mm. Further, when the needle designed in this work was used to puncture a 60mm thickness, ex vivo biological tissue, the mean error of the measurement of the needle tip was 0.39mm. © 2022, The Authors. All rights reserved.

关键词： Fiber Bragg gratings

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