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A simple Bessel module with tunable focal depth and constant resolution for commercial two-photon microscope

Journal of Innovative Optical Health Sciences 2023年第4期16卷 150-159页

作者： Ting Mo Yiran Liu Fatao Bie Zimin Dai Jin Chang Hui Gong Wei Zhou Britton Chance Center and MoE Key Laboratory for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan P.R.China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Science and Technology Wuhan Hubei 430074P.R.China Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging Chinese Academy of Medical Sciences HUST-Suzhou Institute for Brainsmatics JITRI Suzhou P.R.China

The volumetric imaging of two-photon microscopy expands the focal depth and improves the throughput,which has unparalleled superiority for three-dimension samples,especially in ***,emerging in volumetric imaging is still largely customized,which limits the integration with commercial two-photon ***,we analyzed the key parameters that modulate the focal depth and lateral resolution of polarized annular imaging and proposed a volumetric imaging module that can be directly integrated into commercial two-photon systems using conventional optical *** design incorporates the beam diameter adjustment settings of commercial two-photon systems,allowing flexibility to adjust the depth of focus while maintaining the same lateral ***,the depth range and lateral resolution of the design were verified,and the imaging throughput was demonstrated by an increase in the number of imaging neurons in the awake mouse cerebral cortex.

关键词： Volumetric imaging Bessel beam two-photon microscopy

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

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International Journal of Biological Macromolecules 2024年第PT 2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

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VERTICAL LIPID BILAYERS FORMATION IN NANOFLUIDIC CHANNELS BY REVERSE MICELLES CONTACT 26

VERTICAL LIPID BILAYERS FORMATION IN NANOFLUIDIC CHANNELS BY...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Kawagishi, Hiroto Aishan, Yusufu Oiki, Shigetoshi Iwamoto, Masayuki Xu, Yan Department of Chemical Engineering Graduate School of Engineering Osaka Prefecture University Japan Department of Chemical Engineering Graduate School of Engineering Osaka Metropolitan University Japan Biomedical Imaging Research Center University of Fukui Japan Department of Molecular Neuroscience University of Fukui Faculty of Medical Sciences Japan PRESTO Japan NanoSquare Research Institute Osaka Prefecture University Japan

ISBN: (纸本)9781733419048

The lipid bilayer is one of the most important biomolecules that can regulate substances transported in and out of the cells. The lipid bilayer's deformation and transport measurement at the nanoscale has a high potential in revealing the fundamental mechanisms of biological phenomena. This is a blank area due to the lack of sufficient measurement tools available for handling at the nanoscale. Here, we demonstrated the formation and measurement of vertical lipid bilayers in nanofluidic channels by contact of reverse micelles for the first time. This can be a powerful tool for exploring the nanoscale biological phenomena related to various fields. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Biomolecules

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Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI

arXiv

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arXiv 2025年

作者： Wu, Ruoyou Cheng, Jian Li, Cheng Zou, Juan Fan, Wenxin Guo, Hua Liang, Yong Wang, Shanshan Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Pengcheng Laboratory Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China School of Computer Science and Engineering Beihang University Beijing100191 China School of Physics and Electronic Science Changsha University of Science and Technology Changsha410114 China Center for Biomedical Imaging Research Department of Biomedical Engineering School of Medicine Tsinghua University Beijing100084 China

Diffusion magnetic resonance imaging (dMRI) often suffers from low spatial and angular resolution due to inherent limitations in imaging hardware and system noise, adversely affecting the accurate estimation of microstructural parameters with fine anatomical details. Deep learning-based super-resolution techniques have shown promise in enhancing dMRI resolution without increasing acquisition time. However, most existing methods are confined to either spatial or angular super-resolution, limiting their effectiveness in capturing detailed microstructural features. Furthermore, traditional pixel-wise loss functions struggle to recover intricate image details essential for high-resolution reconstruction. To address these challenges, we propose SARL-dMRI, a novel Spatial-Angular Representation Learning framework for high-fidelity, continuous super-resolution in dMRI. SARL-dMRI explores implicit neural representations and spherical harmonics to model continuous spatial and angular representations, simultaneously enhancing both spatial and angular resolution while improving microstructural parameter estimation accuracy. To further preserve image fidelity, a data-fidelity module and wavelet-based frequency loss are introduced, ensuring the super-resolved images remain consistent with the original input and retain fine details. Extensive experiments demonstrate that, compared to five other state-of-the-art methods, our method significantly enhances dMRI data resolution, improves the accuracy of microstructural parameter estimation, and provides better generalization capabilities. It maintains stable performance even under a 45× downsampling factor. © 2025, CC BY-NC-ND.

关键词： Magnetic resonance imaging

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A frame prediction network for total-body dynamic PET imaging

A frame prediction network for total-body dynamic PET imagin...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Q. Yang W. Li Z. Huang Z. Chen W. Zhao Y. Gao X. Yang Y. Yang H. Zheng D. Liang J. Liu R. Chen Z. Hu College of Information Science and Engineering Northeastern University Shenyang China Lauterbur Research Center for Biomedical Imaging Chinese Academy of Sciences Shenzhen China United Imaging Healthcare Group Central Research Institute Shanghai China Department of Nuclear Medicine Ren Ji Hospital Shanghai China

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

Total-body dynamic PET holds high potential for diagnostic imaging of various malignancies. However, traditional dynamic PET scans typically require prolonged durations ($\geq 60$ minutes), potentially causing patient discomfort and resulting in artifacts in final images. In recent years, many deep learning studies have leveraged short-duration PET scans (typically 10-20 minutes) to generate dynamic parametric images, aiming to indirectly address this issue. These approaches overlook all the temporal information contained in the given dynamic PET scan and the real-time metabolic processes occurring in the human body. Therefore, we propose a generative adversarial network capable of predicting dynamic frames to directly reduce the scanning time. Experiments were conducted on two total-body dynamic PET datasets with different radiotracers ($\left.{ }^{[68} \mathrm{Ga}\right] \mathrm{Ga}$ PSMA-11 and $\left.{ }^{68} \mathrm{Ga}\right]$ Ga-FAPI-04) to evaluate the performance of the proposed method. Moreover, parameter images were generated to evaluate the performance of the model. Both visual and quantitative results demonstrate the effectiveness of our approach. In the future, broader experiments and improved solutions will be explored to minimize scan duration while attaining higher prediction precision.

关键词： Deep learning Visualization Microwave integrated circuits Semiconductor detectors Generative adversarial networks Real-time systems Radiotracer

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A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

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NATURE NEUROSCIENCE 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Department of Neuroscience and Pharmacology Rudolf Magnus Institute of Neuroscience University Medical Center Utrecht Utrecht The Netherlands Nuffield Department of Clinical Neurosciences Wellcome Centre for Integrative Neuroimaging FMRIB University of Oxford John Radcliffe Hospital Headington Oxford UK Erwin L. Hahn Institute for MR Imaging University of Duisburg-Essen Essen Germany Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Biological and Biomedical Engineering McGill University Montreal QC Canada Physical Sciences Platform Sunnybrook Research Institute Toronto QC Canada Department of Psychiatry McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada Center for Translational Neuroimaging Northeastern University Boston MA USA Department of Neurology and Neurosurgery McGill University Montreal QC Canada Department of Physiology McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

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Unsupervised Cortical Surface Registration Network for Aligning Gyralnet 22

Unsupervised Cortical Surface Registration Network for Align...

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22nd IEEE International Symposium on biomedical imaging, ISBI 2025

作者： Cheng, Jiale Zhao, Fenqiang Hu, Dan Cao, Chao Wu, Zhengwang Yuan, Xinrui Han, Kangfu Zhang, Lu Liu, Tianming Zhu, Dajiang Li, Gang University of North Carolina Department of Radiology Biomedical Research Imaging Center Chapel HillNC United States University of North Carolina at Chapel Hill North Carolina State University Joint Department of Biomedical Engineering NC United States University of Texas Department of Computer Science and Engineering ArlingtonTX United States Indiana University Department of Computer Science IndianapolisIN United States School of Computing University of Georgia GA United States

ISBN: (纸本)9798331520526

The cortical 3-hinge gyrus (3HG) and its network (GyralNet) play key roles in understanding the regularity and variability of brain structure and function. However, existing cortical surface registration methods overlook these features, resulting in suboptimal alignment across subjects. Currently, no 3HG and GyralNet atlas exist for registration, and generation of the corresponding atlas requires extensive runtime using traditional methods. To enable better registration of these features, we introduce an unsupervised learning framework to jointly develop 3HGs and GyralNet atlas and register the individual cortical features onto the atlas. To incorporate the graph structure of 3HGs and GyralNet into the registration network, we convert them into surface distance maps, facilitating effective integration. To effectively learn large deformations, a multi-level spherical registration network based on spherical U-Net is introduced to perform registration in a coarse-to-fine manner. Experiments demonstrate our approach's ability to generate 3HGs and GyralNet atlas with detailed patterns and effectively improve registration accuracy. © 2025 IEEE.

关键词： Unsupervised learning

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Assessment of force control improvement induced by sinusoidal vibrotactile stimulation in dominant and non-dominant hands

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research on biomedical engineering 2021年第1期37卷 95-103页

作者： Germer, Carina Marconi Moreira, Luciana Sobral Elias, Leonardo Abdala Department of Electronics and Biomedical Engineering School of Electrical and Computer Engineering University of Campinas CampinasSP Brazil Neural Engineering Research Laboratory Center for Biomedical Engineering University of Campinas CampinasSP Brazil Cellular and Structural Biology Graduate Program Institute of Biology University of Campinas CampinasSP Brazil Faculty of Biological Sciences Center for Life Sciences Pontifical Catholic University of Campinas CampinasSP Brazil

Purpose: Vibrotactile stimulation has been shown to improve sensorimotor integration in the central nervous system, thereby enhancing motor performance in several conditions. Here we aim to address two questions: (1) Would lateral asymmetries yielding handedness influence the force control improvement induced by sinusoidal vibrotactile stimulation? (2) Does the force control improvement depend on finding an optimum stimulus intensity? Methods: Eleven participants performed a visually guided force-matching task, while different intensities of sinusoidal vibrations were applied to the index finger skin. Tasks consisted of abductions of the index fingers of dominant and non-dominant hands at 5% of their maximal voluntary contractions. The force coefficient of variation (CoV) in the condition without vibration was used as the reference (control) for later comparison with five vibration intensities. Also, force CoV in the control condition was compared with those obtained from the optimal vibration selected either from both hands or from a single hand (the one that started the experiment). Results: Despite the known sensory asymmetries in cortical and spinal circuits, handedness did not significantly influence the improvement of force control induced by sinusoidal vibrotactile stimulation during low-intensity contractions. Moreover, there was a significant reduction in force variability irrespective of the criteria used to select the vibration intensity. Conclusion: These findings add to the current knowledge on the effects of sinusoidal vibrotactile stimulation on force control and have potential implications for the development of wearable motor enhancer devices. © 2020, Sociedade Brasileira de Engenharia Biomedica.

关键词： Force control

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Evaluating Different Types of Treatment for Osteoporosis Using Fuzzy PROMETHEE

Evaluating Different Types of Treatment for Osteoporosis Usi...

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2023 Advances in Science and engineering Technology International Conferences, ASET 2023

作者： Dube, Sharmain Uzun, Berna David, Leena R Ozsahin, Dilber Uzun Yuvali, Meliz Near East University Department of Biomedical Engineering Cyprus Department of Statistics Carlos Iii de Madrid University Madrid Getafe Spain Near East University Operational Research Center in Health Cyprus Near East University Department of Mathematics Cyprus University of Sharjah Department of Medical Diagnostic Imaging United Arab Emirates Near East University Faculty of Medicine Operational Research Center in Health Department of Biostatistics Cyprus

ISBN: (纸本)9781665454742

Osteoporosis is a chronic and progressive bone disease accompanied by high bone fragility, which is primarily caused by menopause and aging. Osteoporosis is more common among Caucasian elderly women, however, it is becoming a global metabolic bone disease as the world's population ages with increased life span. Osteoporosis symptoms include low bone mass, bone degeneration, and disruption of bone micro-architecture, all of which can raise the likelihood of bone fragility and fissures. Osteoporosis divided two sorts: primary and secondary. The most commonly used type of osteoporosis is primary osteoporosis, which would be caused by the ageing process and decreased gonadal function and encompasses postmenopausal (type-1) and senile (type-2) osteoporosis. Secondary osteoporosis is a failure of bone mass to develop in the developing skeleton or loss of bone mass as a result of disease or damage. Because osteoporosis is not fully reversible, different forms of treatment are utilized to maintain it. Six different osteoporosis possible therapies were tested in this study. Hormone replacement therapy, hormones, bisphosphonates, fluoride, antibodies, and calcitonin are among the therapeutic approaches. The 'fuzzy PROMETHEE' multi-criteria decision-making process was used to analyze treatment alternatives. According to the findings, bisphosphonates are among the mainstay of therapy, whereas hormone substitution therapy is indeed the least recommended. © 2023 IEEE.

关键词： Diseases

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Association between coexisting intracranial artery and extracranial carotid artery atherosclerotic diseases and ipsilateral cerebral infarction: a Chinese Atherosclerosis Risk Evaluation (CARE- II) study

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Stroke & Vascular Neurology 2021年第4期6卷 595-602页

作者： Chunxiu Jiang Jing Zhang Jianbin Zhu Xianlong Wang Zhibo Wen Xihai Zhao Chun Yuan On behalf of CARE-II Investigators Department of Radiology Zhujiang HospitalSouthern Medical UniversityGuangzhouChina Department of Radiology Foshan Women and Children Hospital Affiliated to Southern Medical UniversityFoshanChina Center for Biomedical Imaging Research Department of Biomedical EngineeringTsinghua UniversityBeijingChina Department of Radiology University of WashingtonSeattleWashingtonUSA 不详

Background To evaluate the association between coexisting intracranial and extracranial carotid artery atherosclerotic diseases and ipsilateral acute cerebral infarct(ACI)in symptomatic patients by using magnetic resonance(MR)vessel wall *** Symptomatic patients were recruited from a cross-sectional,multicentre study of Chinese Atherosclerosis Risk Evaluation(CARE-II).All patients underwent MR imaging for extracranial carotid arterial wall,intracranial artery and *** intracranial stenosis≥50%and extracranial carotid artery mean wall thickness(MWT)≥1 mm and plaque compositions at the same side were evaluated and the ipsilateral ACI was *** association between coexisting atherosclerotic diseases and ACI was evaluated using logistic *** 351 patients were *** with ipsilateral ACI had significantly greater prevalence of coexisting intracranial stenosis≥50%and carotid MWT≥1 mm(20.5%vs 4.9%,p<0.001),calcification(15.1%vs 4.4%,p=0.001)and lipid-rich necrotic core(LRNC)(19.2%vs 7.8%,p=0.002)compared with those *** intracranial artery stenosis≥50%and carotid MWT≥1 mm(OR 5.043,95%CI 2.378 to 10.694;p<0.001),calcification(OR 3.864,95%CI 1.723 to 8.664;p=0.001)and LRNC(OR 2.803,95%CI 1.455 to 5.401;p=0.002)were significantly associated with ipsilateral *** adjusting for confounding factors,the aforementioned associations remained statistically significant(intracranial stenosis≥50%coexisting with carotid MWT≥1 mm:OR 4.313,95%CI 1.937 to 9.601,p<0.001;calcification:OR 3.606,95%CI 1.513 to 8.593,p=0.004;LRNC:OR 2.358,95%CI 1.166 to 4.769,p=0.017).Conclusions Coexistence of intracranial artery severe stenosis and extracranial carotid artery large burden and intraplaque components of calcification and LRNC are independently associated with ipsilateral *** registration number https://***/.Unique identifier:NCT02017756.

关键词： intracranial carotid cerebral

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