检索结果-内蒙古大学图书馆

In vivo tumor ultrasound-switchable fluorescence imaging via intravenous injections of size-controlled thermosensitive nanoparticles

引用

Nano Research 2023年第1期16卷 1009-1020页

作者： Liqin Ren Yang Liu Tingfeng Yao Kytai TNguyen Baohong Yuan Ultrasound and Optical Imaging Laboratory Department of Bioengineeringthe University of Texas at ArlingtonArlingtonTX 76019USA Joint Biomedical Engineering Program the University of Texas at Arlington and the University of Texas Southwestern Medical CenterDallasTX 75390USA Department of Bioengineering the University of Texas at ArlingtonArlingtonTX 76019USA

Near-infrared fluorescence imaging has emerged as a noninvasive,inexpensive,and ionizing-radiation-free monitoring tool for assessing tumor growth and treatment *** particular,ultrasound switchable fluorescence(USF)imaging has been explored with improved imaging sensitivity and spatial resolution in centimeter-deep *** study achieved the size control of polymer-based and indocyanine green(ICG)encapsulated USF contrast agents,capable of accumulating in the tumor after intravenous *** nanoprobes varied in size from 58 to 321 *** bioimaging profiles demonstrated that the proposed nanoparticles can efficiently eliminate the background light from normal tissue and show a tumor-specific fluorescence enhancement in the BxPC-3 tumor-bearing mice models possibly via the enhanced permeability and retention *** vivo tumor USF imaging further demonstrated that these nanoprobes can effectively be switched“ON”with enhanced fluorescence in response to a focused ultrasound stimulation in the tumor microenvironment,contributing to the high-resolution USF ***,our findings suggest that ICG-encapsulated nanoparticles are good candidates for USF imaging of tumors in live animals,indicating their great potential in optical tumor imaging in deep tissue.

关键词： in vivo tumor imaging deep tissue near-infrared(NIR)imaging high resolution ultrasound-switchable fluorescence imaging indocyanine green(ICG)

来源：评论

学校读者我要写书评

暂无评论

Femoral Antegrade Starting Tool (FAST) for intramedullary nailing

引用

Journal of Medical engineering and Technology 2022年第1期46卷 46-58页

作者： Ebrahimi, Hamid Saddlemyre, Justin Robert, Normand Burns, David Yee, Albert J. M. Tomescu, Sebastian Whyne, Cari M. Holland Bone and Joint Program Sunnybrook Research Institute Toronto Canada Institute of Biomedical Engineering University of Toronto Toronto Canada Division of Orthopaedic Surgery University of Toronto Toronto Canada

Intramedullary (IM) nailing is the standard of care for adult lower extremity long bone fracture stabilisation. Key to this procedure is obtaining the correct entry point and trajectory for initial guide pin insertion. This work presents the Femoral Antegrade Starting Tool (FAST), a surgical tool that addresses the lack of connectivity in utilising sequential 2D fluoroscopic images to achieve 3D alignment of femoral guide pin placement. The user centred design and development of FAST is introduced and the performance of this device evaluated during guide pin insertion for femoral IM nailing in a series of sawbones and cadaveric models leading to a first in human clinical cohort study. The results demonstrated the potential of FAST to improve time and consistency of the guide pin insertion for femoral IM nailing for less experienced surgeons and trainees. Overall, FAST was found to be easy to use with a high degree of clinical interest (particularly for use in large patients) and acceptance motivating continued development of this new technology. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Data visualization

来源：评论

学校读者我要写书评

暂无评论

Detection of physiological changes in rheumatoid arthritis using time-domain near-infrared imaging: an in silico phantom study 15

Detection of physiological changes in rheumatoid arthritis u...

引用

Optical Tomography and Spectroscopy of Tissue XV 2023

作者： Ioussoufovitch, Seva Diop, Mamadou School of Biomedical Engineering Collaborative Training Program in Musculoskeletal Health Research Bone & Joint Institute Western University London Canada Dept. of Medical Biophysics Western University London Canada Imaging Program Lawson Health Research Institute London Canada

ISBN: (纸本)9781510658578

Early treatment improves rheumatoid arthritis (RA) prognosis;however, 30% of patients still fail their first treatment and current methods can take as long as 3–6 months to detect treatment failure. Time-domain near-infrared diffuse optical imaging (TD-DOI) has the potential to track gradual changes in RA disease activity and could be a more sensitive technique for RA treatment monitoring. Nevertheless, there has been very little investigation into the relationships between TD-DOI and the specific physiological changes that occur in RA. To this end, this work’s objective was to investigate the effects of RA-associated physiological changes on TD-DOI images in silico. Virtual finger phantoms—derived from an MRI segmentation of a healthy human finger—were used to simulate changes in 5 physiological parameters that are typically affected in RA. Four levels of disease activity were considered for each parameter and each parameter was altered individually;parameter alterations were then translated into changes in phantom geometry and optical properties. MCXLAB was used to simulate the propagation of time-domain light (800 nm) through phantoms’ proximal interphalangeal joints and Poisson noise was added to the TD-DOI data to simulate experimental conditions. Spatiotemporal Fourier decomposition was applied to the TD-DOI data to extract image components, which were grouped into datasets based on the physiological parameter that was altered. Component sensitivity to each physiological parameter was assessed using the ratio between a component’s range and standard deviation within each dataset (range-to-error ratio;RER). Mean RER was highest for changes in synovial membrane and fluid volume, suggesting that this parameter may be a primary source of contrast for monitoring RA treatment response with TD-DOI. © 2023 SPIE.

关键词： Phantoms

来源：评论

学校读者我要写书评

暂无评论

Coevolution of Myoelectric Hand Control under the Tactile Interaction among Fingers and Objects

引用

Cyborg and Bionic Systems 2022年第1期2022卷 285-302页

作者： Yuki Kuroda Yusuke Yamanoi Shunta Togo Yinlai Jiang Hiroshi Yokoi Joint Doctoral Program for Sustainability Research Graduate School of Informatics and Engineering The University of Electro-CommunicationsTokyoJapan Department of Mechan ical and Intelligent System Engineering Graduate School of Informatics and Engineering The University of Electro Communications TokyoJapan Center for Neuroscience and Biomedical Engineering The University of Electro Communications TokyoJapan Bejing Innovation Center for Inelligent Robots and Systems BeijingChina

The usability of a prosthetic hand difers significantly from that of a real ***,the complexity of manipulation increases as the number of degrees of freedom to be controlled increases,making manipulation with biological signals extremely *** overcome this problem,users need to select a grasping posture that is adaptive to the object and a stable grasping method that prevents the object from *** previous studies,these have been left to the operating skills of the user,which is extremely difficult to *** this study,we demonstrate how stable and adaptive grasping can be achieved according to the object regardless of the user's operation *** required grasping technique is achieved by determining the correlation bet ween the motor output and each sensor through the interaction between the prosthetic hand and the surrounding stimuli,such as myoelectricity,sense of touch,and grasping *** agents of the 16 DOF robot hand were trained with the myoelectric signals of six participants,including one child with a congenital forearm ***,each agent could open and close the hand in response to the myoeletric stimuli and could accomplish the object pickup *** the tasks,the agents successfully identified grasping patterns suitable for practical and stable positioning of the *** addition,the agents were able to pick up the object in a similar posture regardless of the partiipant,suggesting that the hand was optimized by evolutionary computation to a posture that prevents the object from being dropped.

关键词： robot Objects overcome

来源：评论

学校读者我要写书评

暂无评论

PEARL: projection-estimation accelerated Richardson-Lucy deconvolution for rapid volumetric imaging

引用

Optics Express 2025年第11期33卷 22685-22698页

作者： Shunan Wu Wenhao Liu Xuanwen Hua Jiajia Luo Xunbin Wei Shu Jia Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta Georgia 30332 USA Department of Biomedical Engineering College of Future Technology Peking University Beijing 100871 China PKU-GT-Emory Joint Ph.D. Program China xwei@*** shu.jia@gatech.edu

Three-dimensional imaging of biological specimens requires high spatiotemporal resolution, but the intensive computational demands of processing continuously recorded images hinder the real-time reconstruction of millisecond cellular events. Here, we introduce projection-estimation accelerated Richardson-Lucy (PEARL) Deconvolution, an accelerated 3D reconstruction technique that significantly reduces iteration requirements for image reconstruction based on Richardson-Lucy deconvolution. We validate PEARL's capabilities by imaging immuno-stained mitochondria, GFP-labeled peroxisomes, and human pluripotent stem cell-derived organoids, demonstrating enhanced reconstruction speed and accuracy across diverse biological applications.

关键词： biomedical imaging Image reconstruction Machine learning Phase retrieval Three dimensional imaging Three dimensional reconstruction

来源：评论

学校读者我要写书评

暂无评论

Low-dose intrapulmonary drug delivery device for studies on next-generation therapeutics in mice

引用

Journal of Controlled Release 2023年第1期359卷 287-301页

作者： Gracioso Martins, Ana Maria Snider, Douglas B. Popowski, Kristen D. Schuchard, Karl G. Tenorio, Matias Akunuri, Sandip Wee, Junghyun Peters, Kara J. Jansson, Anton Shirwaiker, Rohan Cheng, Ke Freytes, Donald O. Cruse, Glenn P. Department of Molecular Biomedical Sciences College of Veterinary Medicine North Carolina State University RaleighNC United States Comparative Medicine and Translational Research Training Program North Carolina State University RaleighNC United States Comparative Medicine Institute North Carolina State University RaleighNC United States Joint Department of Biomedical Engineering College of Engineering North Carolina State University & University of North Carolina-Chapel Hill NC United States Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University RaleighNC United States Department of Mechanical and Aerospace Engineering North Carolina State University RaleighNC United States Analytical Instrumentation Facility Monteith Research Center North Carolina State University RaleighNC United States

Although nebulizers have been developed for delivery of small molecules in human patients, no tunable device has been purpose-built for targeted delivery of modern large molecule and temperature-sensitive therapeutics to mice. Mice are used most of all species in biomedical research and have the highest number of induced models for human-relevant diseases and transgene models. Regulatory approval of large molecule therapeutics, including antibody therapies and modified RNA highlight the need for quantifiable dose delivery in mice to model human delivery, proof-of-concept studies, efficacy, and dose-response. To this end, we developed and characterized a tunable nebulization system composed of an ultrasonic transducer equipped with a mesh nebulizer fitted with a silicone restrictor plate modification to control the nebulization rate. We have identified the elements of design that influence the most critical factors to targeted delivery to the deep lungs of BALB/c mice. By comparing an in silico model of the mouse lung with experimental data, we were able to optimize and confirm the targeted delivery of over 99% of the initial volume to the deep portions of the mouse lung. The resulting nebulizer system provides targeted lung delivery efficiency far exceeding conventional nebulizers preventing waste of expensive biologics and large molecules during proof-of-concept and pre-clinical experiments involving mice. (Word Count =207). © 2023 Elsevier B.V.

关键词： Molecules

来源：评论

学校读者我要写书评

暂无评论

Enhancing wound healing and adhesion through dopamine-assisted gelatin-silica hybrid dressings

引用

International Journal of Biological Macromolecules 2024年第Part2期258卷 128845页

作者： Lin, Yu-Chien Wang, Huey-Yuan Tang, Yao-Chun Lin, Wan-Rong Tseng, Ching-Li Hu, Chih-Chien Chung, Ren-Jei Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei10608 Taiwan School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Department of Stomatology MacKay Memorial Hospital Taipei104217 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International Ph. D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Research Center of Biomedical Device College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International Ph. D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Bone and Joint Research Center Chang Gung Memorial Hospital Linkou33305 Taiwan Taipei10608 Taiwan

Gelatin, widely employed in hydrogel dressings, faces limitations when used in high fluid environments, hindering effective material adhesion to wound sites and subsequently reducing treatment efficacy. The rapid degradation of conventional hydrogels often results in breakdown before complete wound healing. Thus, there is a pressing need for the development of durable adhesive wound dressings. In this study, 3-glycidoxypropyltrimethoxysilane (GPTMS) was utilized as a coupling agent to create gelatin-silica hybrid (G-H) dressings through the sol-gel method. The coupling reaction established covalent bonds between gelatin and silica networks, enhancing structural stability. Dopamine (DP) was introduced to this hybrid (G-H-D) dressing to further boost adhesiveness. The efficacy of the dressings for wound management was assessed through in-vitro and in-vivo tests, along with ex-vivo bioadhesion testing on pig skin. Tensile bioadhesion tests demonstrated that the G-H-D material exhibited approximately 2.5 times greater adhesion to soft tissue in wet conditions compared to pure gelatin. Moreover, in-vitro and in-vivo wound healing experiments revealed a significant increase in wound healing rates. Consequently, this material shows promise as a viable option for use as a moist wound dressing. © 2023

关键词： Adhesion

来源：评论

学校读者我要写书评

暂无评论

Enhanced Performance and Data Privacy in Lung Nodule Classification via Federated Deep Learning Approach 24

Enhanced Performance and Data Privacy in Lung Nodule Classif...

引用

2024 7th International Conference on Healthcare Service Management, ICHSM 2024

作者： Nguyen, Duc-Khanh Li, Ai-Hsien Adam Lai, Yen-Jun Chiu, Yen-Ling Phan, Dinh-Van Chien, Ting-Ying Chan, Chien-Lung Department of Information Management Yuan Ze University Taoyuan Taiwan Department of Statistics and Informatics University of Economics The University of Danang Danang Viet Nam Division of Cardiology Far Eastern Memorial Hospital New Taipei Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Radiology Far Eastern Memorial Hospital New Taipei Taiwan Graduate Institute of Medicine and Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Medical Research Far Eastern Memorial Hospital New Taipei Taiwan Department of Computer Science and Engineering Yuan Ze University Taoyuan Taiwan ZDT Group- YZU Joint Research and Development Center for Big Data Taoyuan Taiwan Yuan Ze University Taoyuan Taiwan

ISBN: (纸本)9798400710162

This study explores the feasibility of deep learning for classifying nodule neoplasms, analyzing their performance on two openly available datasets, LUNGx SPIE, and LIDC-IDRI. These datasets offer valuable diversity in image quantity, quality, and malignancy annotation methodologies, posing a real-world challenge for effective model development. To handle the disparities in these diverse datasets, we aim to develop a robust classification model trained using federated learning. This decentralized approach allows model training across datasets without sharing patient data, preserving privacy and overcoming data fragmentation. Our experiments demonstrate that federated learning enables the development of a robust and superior deep learning model compared to individual models trained on limited data. This combination of deep learning, and federated learning holds immense promise for nodule neoplasm classification and can significantly improve patient care and outcomes. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Scalable Stereolithography-Based Monolithic Microfluidic Device Creation for Rapid Biological Sample Analyses 25

Scalable Stereolithography-Based Monolithic Microfluidic Dev...

引用

25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Markoski, Alex Wong, Ian Y. Borenstein, Jeffrey T. Department of Synthetic Biology and Bio Instrumentation Draper Bioengineering Division CambridgeMA United States School of Engineering Center for Biomedical Engineering Joint Program in Cancer Biology Brown University ProvidenceRI United States

ISBN: (纸本)9781733419031

Microfluidic manipulation and perfusion of multicellular spheroids often utilize device geometries with relatively large channels but smaller trapping features, which are tricky to fabricate with robust bonding. Here, we demonstrate one-step light-directed 3D printing of a sealed monolithic device with enclosed channels and pillar arrays, which we validate for capturing and imaging multicellular spheroids in varying flow. Our approach links computer-aided design with finite element simulations of flow and oxygen conditions, which were experimentally realized. We envision these design and fabrication approaches may be useful in generating rapidly designed multiplexed monolithic arrays for preclinical drug testing in cancer. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Microfluidics

来源：评论

学校读者我要写书评

暂无评论

Quantifying At-Home Physiotherapy Participation: SPARS vs Self-Reported Diaries

Archives of Rehabilitation Research and Clinical Translation

引用

Archives of Rehabilitation Research and Clinical Translation 2025年第2期7卷

作者： Rezkalla, Matthew Boyer, Philip Burns, David Renteria, Cristian Whyne, Cari Holland Bone and Joint Program Sunnybrook Research Institute Toronto Ontario Canada Institute of Biomedical Engineering University of Toronto Toronto Ontario Canada Division of Orthopaedics Department of Surgery University of Toronto Toronto Ontario Canada Working Condition Program Holland Orthopedic and Arthritic Centre Toronto ON Canada

The completion of at-home physiotherapy exercise is key to many rehabilitation protocols. This study compares at-home upper extremity physiotherapy participation as measured based on data captured with a smart watch to that recorded in self-report diaries. Daily at-home exercise participation (sessions) was recorded for 53 patients with rotator cuff pathology during their first 2 weeks of a 12-week physiotherapy rehabilitation program. Exercise participation was measured using a physical therapy monitoring system that uses smart watch (accelerometer/gyroscope) data analyzed via a convolutional neural network trained on labeled patient-specific in-clinic data and compared to patient reported diaries. A high level of agreement between diary exercise participation and the measurements derived from the smart watch data (ICC=0.72, n=53) was found, with an AUROC=0.99 for binary identification of exercise periods on labeled clinic data. However, overall patient diaries reported more exercise performed (0.96 additional days on average) than measured by the ML algorithm. ML and accelerometer/gyroscope data collected by embedded sensors in a smartwatch represents an accurate and objective alternative to self-reported diaries for monitoring patient at-home participation. Lower levels recorded by the ML algorithm may indicate some limitations in the technology to fully capture participation or potential over-reporting of participation within diaries. As self-reported diary completion decreases over time, physical therapy monitoring technology may represent an acceptable method for longer term assessment of exercise participation. © 2025 The Authors

关键词： Machine learning Patient adherence Physiotherapy Rehabilitation Rotator cuff pathology Self-reported diaries Shoulder rehabilitation exercises Smartwatches

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：