检索结果-内蒙古大学图书馆

Single-molecule localization microscopy of expanded mammalian centrioles unravels the ultrastructural constitution of distal appendages

引用

Biophysical journal 2023年第3S1期122卷 17a页

作者： Chang, Ting-Jui B Hsu, Jimmy C-C Yang, Tony Physics National Taiwan University Taipei City Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei City Taiwan Electrical Engineering National Taiwan University Taipei City Taiwan Electrical Engineering National Taiwan University Taipei City Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei City Taiwan

来源：评论

学校读者我要写书评

暂无评论

Investigating Skin Aging Using Jones Matrix Polarization-Sensitive Optical Coherence Tomography

Investigating Skin Aging Using Jones Matrix Polarization-Sen...

引用

Bio-Optics: Design and Application, BODA 2023 - Part of Optica Biophotonics Congress: Optics in the Life sciences 2023

作者： Maloufi, Sina Zhou, Xin Mirsalehi, Mitra Louie, Daniel C. Lee, Tim K. Tang, Shuo School of Biomedical Engineering University of British Columbia VancouverBCV6T 1Z4 Canada Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada Department of Dermatology and Skin Science Photomedicine Institute University of British Columbia Vancouver Coastal Health Research Institute VancouverBCV5Z 4E8 Canada Cancer Control Research Program BC Cancer VancouverBCV5Z 1L3 Canada

JM-OCT was utilized to present comparison on the effects of intrinsic aging on features quantified by JM-OCT, such as epidermal thickness, local depolarization, and collagen disruption. © 2023 The Author(s)

ISBN: (纸本)9781957171210

关键词： Optical tomography

来源：评论

学校读者我要写书评

暂无评论

AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis

arXiv

引用

arXiv 2024年

作者： Ozturk, Caglar Pak, Daniel H. Rosalia, Luca Goswami, Debkalpa Robakowski, Mary E. McKay, Raymond Nguyen, Christopher T. Duncan, James S. Roche, Ellen T. Institute for Medical Engineering and Science Massachusetts Institute of Technology CambridgeMA United States Bioengineering Science Research Group School of Engineering University of Southampton Southampton United Kingdom Department of Biomedical Engineering Yale University New HavenCT United States Health Sciences and Technology Program Harvard–Massachusetts Institute of Technology CambridgeMA United States Cardiovascular Innovation Research Center Heart Vascular & Thoracic Institute Cleveland Clinic ClevelandOH United States Department of Cardiovascular Medicine Heart Vascular & Thoracic Institute Cleveland Clinic ClevelandOH United States Department of Chemical and Biomedical Engineering Cleveland State University ClevelandOH United States Interventional Cardiology Hartford Hospital HartfordCT United States Department of Mechanical Engineering Massachusetts Institute of Technology CambridgeMA United States

Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation, early diagnosis, and tailored treatment planning. However, their use is currently limited by complex workflows necessitating lengthy expert-driven manual operations. Here, we propose an AI-powered computational framework for accelerated and democratized patient-specific modeling of AS hemodynamics from computed tomography. First, we demonstrate that our automated meshing algorithms can generate task-ready geometries for both computational and benchtop simulations with higher accuracy and 100 times faster than existing approaches. Then, we show that our approach can be integrated with fluid-structure interaction and soft robotics models to accurately recapitulate a broad spectrum of clinical hemodynamic measurements of diverse AS patients. The efficiency and reliability of these algorithms make them an ideal complementary tool for personalized high-fidelity modeling of AS biomechanics, hemodynamics, and treatment planning. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational fluid dynamics

来源：评论

学校读者我要写书评

暂无评论

Cigarette smoke-induced dysbiosis: comparative analysis of lung and intestinal microbiomes in COPD mice and patients

引用

Respiratory Research 2024年第1期25卷 1-14页

作者： Laiman, Vincent Chuang, Hsiao-Chi Lo, Yu-Chun Yuan, Tzu-Hsuen Chen, You-Yin Heriyanto, Didik Setyo Yuliani, Fara Silvia Chung, Kian Fan Chang, Jer-Hwa Department of Radiology Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada – Dr. Sardjito Hospital Yogyakarta Indonesia School of Respiratory Therapy College of Medicine Taipei Medical University 250 Wuxing Street Taipei 11031 Taiwan Division of Pulmonary Medicine Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei Taiwan National Heart and Lung Institute Imperial College London London United Kingdom The Ph.D. Program for Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Health and Welfare College of City Management University of Taipei Taipei Taiwan Industrial Ph.D. Program of Biomedical Science and Engineering National Yang Ming Chiao Tung University Taipei Taiwan Department of Biomedical Engineering National Yang Ming Chiao Tung University Taipei Taiwan Department of Anatomical Pathology Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada – Dr. Sardjito Hospital Yogyakarta Indonesia Department of Pharmacology and Therapy Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada Yogyakarta Indonesia Division of Pulmonary Medicine Departments of Internal Medicine Wan Fang Hospital Taipei Medical University Taipei Taiwan Collaboration Research Center for Precision Oncology based Omics- PKR Promics Universitas Gadjah Mada Yogyakarta Indonesia

Background: The impact of cigarette smoke (CS) on lung diseases and the role of microbiome dysbiosis in chronic obstructive pulmonary disease (COPD) have been previously reported;however, the relationships remain unclear. Methods: Our research examined the effects of 20-week cigarette smoke (CS) exposure on the lung and intestinal microbiomes in C57BL/6JNarl mice, alongside a comparison with COPD patients’ intestinal microbiome data from a public dataset. Results: The study found that CS exposure significantly decreased forced vital capacity (FVC), thickened airway walls, and induced emphysema. Increased lung damage was observed along with higher lung keratinocyte chemoattractant (KC) levels by CS exposure. Lung microbiome analysis revealed a rise in Actinobacteriota, while intestinal microbiome showed significant diversity changes, indicating dysbiosis. Principal coordinate analysis highlighted distinct intestinal microbiome compositions between control and CS-exposed groups. In the intestinal microbiome, notable decreases in Patescibacteria, Campilobacterota, Defferibacterota, Actinobacteriota, and Desulfobacterota were observed. We also identified correlations between lung function and dysbiosis in both lung and intestinal microbiomes. Lung interleukins, interferon-ɣ, KC, and 8-isoprostane levels were linked to lung microbiome dysbiosis. Notably, dysbiosis patterns in CS-exposed mice were similar to those in COPD patients, particularly of Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 4 patients. This suggests a systemic impact of CS exposure. Conclusion: In summary, CS exposure induces significant dysbiosis in lung and intestinal microbiomes, correlating with lung function decline and injury. These results align with changes in COPD patients, underscoring the important role of microbiome in smoke-related lung diseases. © The Author(s) 2024.

关键词： Cigarette smoke Emphysema Inflammation Intestine Lung Microbiome

来源：评论

学校读者我要写书评

暂无评论

Recent advances in genome-scale engineering in Escherichia coli and their applications

引用

engineering Microbiology 2024年第1期4卷 28-38页

作者： Hui Gao Zhichao Qiu Xuan Wang Xiyuan Zhang Yujia Zhang Junbiao Dai Zhuobin Liang Institute of Molecular Physiology Shenzhen Bay LaboratoryShenzhen 518132China CAS Key Laboratory of Quantitative Engineering Biology Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics.Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Regenerative Medicine Program Bellvitge Institute for Biomedical Research(IDIBELL)and Program for Clinical Translation of Regenerative Medicine in Catalonia(P-CMRC)L’Hospitalet de LlobregatBarcelona 08908Spain Faculty of Pharmacy and Food Science Barcelona UniversityBarcelona 08028Spain College of Life Sciences Northwest A&F UniversityShaanxi 712100China Shenzhen Branch Guangdong Laboratory for Lingnan Modern AgricultureKey Laboratory of Synthetic BiologyMinistry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Owing to the rapid advancement of genome engineering technologies,the scale of genome engineering has expanded *** editing has progressed from one genomic alteration at a time that could only be employed in few species,to the simultaneous generation of multiple modifications across many genomic loci in numerous *** development and recent advances in multiplex automated genome engineering(MAGE)-associated technologies and clustered regularly interspaced short palindromic repeats and their associated protein(CRISPR-Cas)-based approaches,together with genome-scale synthesis technologies offer unprecedented opportunities for advancing genome-scale engineering in a broader *** approaches provide new tools to generate strains with desired phenotypes,understand the complexity of biological systems,and directly evolve a genome with novel ***,we review the recent major advances in genome-scale engineering tools developed for Escherichia coli,focusing on their applications in identifying essential genes,genome reduction,recoding,and beyond.

关键词： Genome-scale engineering E.coli Recombineering CRISPR-Cas

来源：评论

学校读者我要写书评

暂无评论

Undersampled Magnetic Resonance Image Reconstructions Based on a Combination of U-Nets and L1, L2, and TV Optimizations

Undersampled Magnetic Resonance Image Reconstructions Based ...

引用

IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： Aline A.S. Thomaz Jonathan A.S. Lima Cristiano J. Miosso Mylé ne C.Q. Farias Andrey S. Krylov Yong Ding Department of Electrical Engineering University of Brasilia (UnB) Brasilia Brazil Biomedical Engineering Graduate Program University of Brasilia (UnB) Brasilia Brazil Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Moscow Russia College of Information Science and Electronic Engineering Zhejiang University Zhejiang China

Magnetic Resonance Imaging (MRI) plays a major role in the diagnosis of several diseases. However, the acquisition of measurements in the k-space domain, which is the basis for image reconstruction, takes a long time compared to other imaging modalities and is comparatively costly. In this context, undersampled MRI reconstruction is an approach for decreasing the acquisition duration and the exam's final cost. With this objective, both Compressed Sensing (CS) and Deep Learning (DL) provide techniques for generating good quality MRI images from undersampled measurements. In this paper, we combine CS and DL methods in order to investigate the potential increase in image quality over each isolated approach. We use reconstructions from from highly undersampled MRI signals using two CS approaches, the L1 and total minimizations, as inputs to a U-Net. We also use, for comparison, the reconstructions from the same undersampled signals using L2 minimization, and also test them as inputs to a U-net. The goal is to evaluate whether the the U-Net can improve the results of the CS reconstructions after learning from degraded and original image pairs. Our experimental results suggest that the combination of L1 or TV minimization with U-Nets can improve reconstruction, in terms of objective image quality, over each technique used in isolation.

关键词： Image quality TV Magnetic resonance imaging Magnetic resonance Minimization Time measurement Sensors

来源：评论

学校读者我要写书评

暂无评论

Naked-eye observation of water-forming reaction on palladium etalon:transduction of gas-matter reaction into light-matter interaction

引用

PhotoniX 2023年第1期4卷 349-363页

作者： Jongsu Lee Eui-Sang Yu Taehyun Kim In Soo Kim Seok Chung Seung Jae Kwak Won Bo Lee Yusin Pak Yong-Sang Ryu Sensor System Research Center Korea Institute of Science and TechnologySeoul 02792Republic of Korea Department of Electrical and Computer Engineering Seoul National UniversitySeoul 08826Republic of Korea Smart Materials Research Section Electronics and Telecommunications Research InstituteDaejeon 34129Republic of Korea Department of Micro/Nano Systems Korea University02841 SeoulRepublic of Korea Nanophotonics Research Center Korea Institute of Science and TechnologySeoul 02792Republic of Korea School of Mechanical Engineering Korea UniversitySeoul 02841Republic of Korea School of Chemical and Biological Engineering Seoul National UniversitySeoul 08826Republic of Korea Interdisciplinary Program in Precision Public Health Korea UniversitySeoul 02481Republic of Korea School of Biomedical Engineering Korea UniversitySeoul 02481Republic of Korea

Palladium is the most prominent material in both scientific and industrial research on gas storage,purification,detection,and catalysis due to its unique properties as a catalyst and hydrogen *** the dynamic optical phenomena of palladium reacting with hydrogen,transduction of the gas-matter reaction into light-matter interaction is attempted to visualize the dynamic surface chemistry and reaction *** simple geometry of the metal-dielectric-metal structure,Fabry-Perot etalon,is employed for a colorimetric reactor,to display the catalytic reaction of the exposed gas via water-film/bubble formation at the dielectric/palladium *** adsorption/desorption behavior and catalytic reaction of hydrogen and oxygen on the palladium surface display highly repeatable and dramatic color changes based on two distinct water formation trends:the foggy effect by water bubbles and the whiteout effect by water film *** and experiments demonstrate the robustness of the proposed Fabry-Perot etalon as an excellent platform for monitoring the opto-physical phenomena driven by heterogeneous catalysis.

关键词： Palladium Hydrogen Oxygen Fabry-Perot resonators Colorimetric sensors Water-forming reaction

来源：评论

学校读者我要写书评

暂无评论

DCGAN-based Medical Image Augmentation to Improve ELM Classification Performance

DCGAN-based Medical Image Augmentation to Improve ELM Classi...

引用

IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Rando Noor Akhmad Setiawan Adhistya Erna Permanasari Riries Rulaningtyas Andriyan Bayu Suksmono Imas Sukaesih Sitanggang Dept. of Electrical and Information Engineering Universitas Gadjah Mada Yogyakarta Indonesia Dept. of Physics Universitas Airlangga Biomedical Engineering Program Surabaya Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Department of Computer Science IPB University Bogor Indonesia

ISBN: (数字)9781665460309

ISBN: (纸本)9781665460316

Cervical cancer is one of the deadliest diseases in women. One of the cervical cancer screening methods is pap smear method. However, using a pap smear method to detect cervical cancer takes a long time for a pathologist to diagnose. Hence, a rapid development of medical computerization for early detection to get the results quickly is needed. This paper proposes synthetic data augmentation by using Deep Convolutional Generative Adversarial Network (DCGAN) to increase number of pap smear samples in dataset. Gray Level Co-occurrence Matrix (GLCM) is employed to extract features from dataset. Classification of 3 classes which are Adenocarcinoma, High-Grade Squamous Intraepithelial Lesion (HSIL), and Squamous Cell Carcinoma (SCC) is conducted using Extreme Learning Machine (ELM). The result shows that the addition of synthetic data improves the performance of ELM with the accuracy of 90%. This accuracy is better than the accuracy of ELM using only the original dataset which is 85%.

关键词： Satellites Extreme learning machines Medical services Feature extraction Generative adversarial networks Entropy Lesions

来源：评论

学校读者我要写书评

暂无评论

A Single-Motor system for 3D Spiral Photoacoustic and Ultrasound Imaging of Rectal Cancer In Vivo

A Single-Motor system for 3D Spiral Photoacoustic and Ultras...

引用

Photons Plus Ultrasound: Imaging and Sensing 2025

作者： Thakur, Sanskar Nie, Haolin Kou, Sitai Xu, Jinhua Eltahir, Ahmed Chapman, William Zhu, Quing Imaging Science Program Washington University Saint LouisMO63130 United States Department of Biomedical Engineering Washington University Saint LouisMO63130 United States Department of Surgery Washington University School of Medicine Saint LouisMO63110 United States Department of Radiology Washington University School of Medicine St. LouisMO63110 United States

ISBN: (纸本)9781510683860

Colorectal cancer is the 3rd most prevalent cancer in the United States. Photoacoustic imaging reveals vascular contrast of the tumor and can be used to assess and predict treatment response of rectal cancer patient undergoing radiation and neoadjuvant therapy. A compact and portable endorectal acoustic resolution photoacoustic microscopy and ultrasound (ARPAM/US) system was developed and translated to clinics for patient evaluation. The current system utilizes hollow shaft motor, connected to the imaging head for 360o clockwise and anticlockwise rotation to acquire 2D images. Each rotation provides co-registered photoacoustic and ultrasound B-scan images with 1000 A-lines in one second. The characterization of the system with a 7um carbon fiber revealed the axial resolution for ultrasound and photoacoustics to be 35µm and 72µm, and the lateral resolution of 122 µm and 116 µm respectively. Currently, 4 patients have been imaged in-vivo with the hand-held probe in an ongoing clinical trial. We show an in vivo ARPAM/US imaging example to demonstrate the performance of the current system. However, even operated by steady hands of surgeons, it is challenging to acquire 3D images for better visualization of rectal tumors. We designed and implemented a novel 3D imaging probe. The proposed single motor design utilizes a unique rotation and translation coupler design. A =-28 threaded shaft facilitates translation of 0.9mm per rotation with over 2cm translation limit. The images can be stitched together to generate 3D spiral images of co-registered ultrasound and photoacoustics for better visualization of the tumor. © 2025 SPIE.

关键词： Photoacoustic microscopy

来源：评论

学校读者我要写书评

暂无评论

Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation

arXiv

引用

arXiv 2025年

作者： Tang, Sophia Zhang, Yinuo Tong, Alexander Chatterjee, Pranam Department of Biomedical Engineering Duke University United States Management and Technology Program University of Pennsylvania United States Center of Computational Biology Duke-NUS Medical School Singapore Mila Quebec AI Institute Canada Université de Montréal Canada Department of Computer Science Duke University United States Department of Biostatistics and Bioinformatics Duke University United States

Flow matching in the continuous simplex has emerged as a promising strategy for DNA sequence design, but struggles to scale to higher simplex dimensions required for peptide and protein generation. We introduce Gumbel-Softmax Flow and Score Matching, a generative framework on the simplex based on a novel Gumbel-Softmax interpolant with a time-dependent temperature. Using this interpolant, we introduce Gumbel-Softmax Flow Matching by deriving a parameterized velocity field that transports from smooth categorical distributions to distributions concentrated at a single vertex of the simplex. We alternatively present Gumbel-Softmax Score Matching which learns to regress the gradient of the probability density. Our framework enables high-quality, diverse generation and scales efficiently to higher-dimensional simplices. To enable training-free guidance, we propose Straight-Through Guided Flows (STGFlow), a classifier-based guidance method that leverages straight-through estimators to steer the unconditional velocity field toward optimal vertices of the simplex. STGFlow enables efficient inference-time guidance using classifiers pre-trained on clean sequences, and can be used with any discrete flow method. Together, these components form a robust framework for controllable de novo sequence generation. We demonstrate state-of-the-art performance in conditional DNA promoter design, sequence-only protein generation, and target-binding peptide design for rare disease treatment. © 2025, CC BY-NC-ND.

关键词： Velocity distribution

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：