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IEEE International Symposium on biomedical Imaging

作者： Maya Fichmann Levital Samah Khawaled Yufei Chen John A. Kennedy Moti Freiman Autonomous Systems Program Faculty of Mathematics College of Electronics and Information Engineering Tongji University Shanghai China Faculty of Nuclear Medicine Rambam Health Care Campus Faculty of Biomedical Engineering Technion – Israel Institute of Technology Haifa Israel

The measurement of uncertainty in deep learning (DL) based reconstruction of Positron Emission Tomography (PET) images is imperative for its successful application in clinical settings, as it is vital for making informed clinical decisions. To address this issue, we propose a fully non-parametric Bayesian framework for uncertainty estimation in DL-based Ultra Low Dose PET image reconstruction. Our framework combines an Adam optimizer with stochastic gradient Langevin dynamics (SGLD) to sample from the underlying posterior distribution. The Bayesian Low Dose (LD) PET reconstruction approach shows a better correlation of the predicted uncertainty to the Dose Reduction Factor (DRF), as compared to the benchmark Monte-Carlo Dropout 95 percentile score (r 2 =0.9174 vs. r 2 =0.6144 on 10, 631 examples at the inference phase). Furthermore, statistically significant improvement was achieved in SSIM, PSNR and NRMSE measures for DRF’s 4, 10, 20, 50 and 100 (paired t-test with p < 0.01).

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Segmented OctaSiPM for Dual-ended Readout of BGO to Improve Timing Resolution in Time-of-Flight PET

Segmented OctaSiPM for Dual-ended Readout of BGO to Improve ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： M. Yi D. Lee A. Gola S. Merzi M. Penna J.S. Lee S. R. Cherry S.I. Kwon Department of Biomedical Engineering University of California Davis Davis California United States of America Interdisciplinary Program in Bioengineering College of Engineering Seoul National University Seoul Republic of Korea Fondazione Bruno Kessler Trento Italy Brightonix Imaging Inc Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

BGO has been highlighted as a cost-effective option for hybrid scintillator/Cherenkov radiator. However, effectively utilizing its improved timing resolution is hindered by challenges in managing the high detection fluctuation of Cherenkov photons and their spectral overlap with scintillation photons. Our previous study showed that the dual-ended readout and an adaptive timestamp method could enhance the detection of quasi-isotropically and simultaneously emitted Cherenkov photons in BGO. The OctaSiPM, developed by FBK, features a single pixel active area of 2.5 × 1.4 mm 2 and a 2 × 4 SiPM arrangement, offering a total active area of 5.3 × 5.8 mm 2 . In our recent investigation, when one end of a BGO crystal was coupled to two segmented pixels of the OctaSiPM, additional information about the initial photon density of the corresponding event could be provided. Thus, we hypothesize that the combination of the segmentation scheme and the dual-ended readout can provide multidimensional information on gamma events in BGO TOF-PET detectors. In the experimental setup, a Teflon-wrapped polished BGO crystal was read out from both ends using OctaSiPMs, followed by low-noise high-frequency amplification. Coincidence detection of gamma rays was conducted between a BGO detector and an LYSO:Ce:Mg reference detector. Relationship between segmented pixel time differences and top-bottom time differences revealed a unique pattern correlating with Cherenkov photon events. By selectively adjusting time windows, time difference distribution converged towards a single Gaussian distribution, enabling the selection of pure Cherenkov-triggered events. This marks the first instance of achieving a single Gaussian fitting from BGO data, underscoring the novelty and importance of our findings. Moreover, the analysis of initial photon counts provided insights into the likelihood of prompt Cherenkov photon detection and its temporal density.

关键词： Microwave integrated circuits Image segmentation Image resolution Fluctuations Semiconductor detectors Gamma-rays Crystals

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Advancing electrochemical impedance analysis through innovations in the distribution of relaxation times method

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Joule 2024年第7期8卷 1958-1981页

作者： Maradesa, Adeleke Py, Baptiste Huang, Jake Lu, Yang Iurilli, Pietro Mrozinski, Aleksander Law, Ho Mei Wang, Yuhao Wang, Zilong Li, Jingwei Xu, Shengjun Meyer, Quentin Liu, Jiapeng Brivio, Claudio Gavrilyuk, Alexander Kobayashi, Kiyoshi Bertei, Antonio Williams, Nicholas J. Zhao, Chuan Danzer, Michael Zic, Mark Wu, Phillip Yrjänä, Ville Pereverzyev, Sergei Chen, Yuhui Weber, André Kalinin, Sergei V. Schmidt, Jan Philipp Tsur, Yoed Boukamp, Bernard A. Zhang, Qiang Gaberšček, Miran O'Hayre, Ryan Ciucci, Francesco Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Hong Kong Metallurgical and Materials Engineering Colorado School of Mines Golden80401 United States Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical Engineering Tsinghua University Beijing China Green Energy Storage Trento38123 Italy Department of Manufacturing and Production Engineering Faculty of Mechanical Engineering and Ship Technology Institute of Machine and Materials Technology Gdańsk University of Technology Gdańsk Poland Electrode Design for Electrochemical Energy Systems University of Bayreuth Bayreuth Germany School of Chemistry University of New South Wales Sydney Australia School of Advanced Energy Sun Yat-Sen University Shenzhen China Sustainable Energy Center CSEM Neuchâtel2002 Switzerland Interdisciplinary Faculty of Science and Engineering Shimane University Matsue Japan Centre for Electronic and Optical Materials National Institute for Materials Science Tsukuba Japan Department of Civil and Industrial Engineering University of Pisa Pisa Italy Department of Materials Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Department of Chemical Engineering Massachusetts Institute of Technology Cambridge02139 United States Electrical Energy Systems University of Bayreuth Bayreuth Germany Ruder Boskovic Institute Zagreb Croatia Department of Materials and Minerals Resources Engineering National Taipei University Taipei Taiwan Finland Johann Radon Institute for Computational and Applied Mathematics Linz Austria School of Science and Engineering Nanjing Tech. University Nanjing China Karlsruhe Germany Department of Materials Science and Engineering University of Tennessee KnoxvilleTN37996 United States Physical Science Division Pacific Northwest National Laboratory RichlandWA99354 United States Systems Engineering for Electrical Energy Storage University of B

Electrochemical impedance spectroscopy (EIS) is widely used in electrochemistry, energy sciences, biology, and beyond. Analyzing EIS data is crucial, but it often poses challenges because of the numerous possible equivalent circuit models, the need for accurate analytical models, the difficulties of nonlinear regression, and the necessity of managing large datasets within a unified framework. To overcome these challenges, non-parametric models, such as the distribution of relaxation times (DRT, also known as the distribution function of relaxation times, DFRT), have emerged as promising tools for EIS analysis. For example, the DRT can be used to generate equivalent circuit models, initialize regression parameters, provide a time-domain representation of EIS spectra, and identify electrochemical processes. However, mastering the DRT method poses challenges as it requires mathematical and programming proficiency, which may extend beyond experimentalists’ usual expertise. Post-inversion analysis of DRT data can be difficult, especially in accurately identifying electrochemical processes, leading to results that may not always meet expectations. This article examines non-parametric EIS analysis methods, outlining their strengths and limitations from theoretical, computational, and end-user perspectives, and provides guidelines for their future development. Moreover, insights from survey data emphasize the need to develop a large impedance database, akin to an impedance genome. In turn, software development should target one-click, fully automated DRT analysis for multidimensional EIS spectra interpretation, software validation, and reliability. Particularly, creating a collaborative ecosystem hinged on free software could promote innovation and catalyze the adoption of the DRT method throughout all fields that use impedance data. © 2024 Elsevier Inc.

关键词： Electrochemical impedance spectroscopy

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Electrospun Aligned PCL/Gelatin Scaffolds Mimicking the Skin ECM for Effective Antimicrobial Wound Dressings

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Advanced Fiber Materials 2023年第1期5卷 235-251页

作者： Erfan Rezvani Ghomi Rajamani Lakshminarayanan Vijila Chellappan Navin Kumar Verma Amutha Chinnappan Rasoul Esmaeely Neisiany Kottaiswamy Amuthavalli Zhi Sheng Poh Brandon Han Siang Wong Nileshkumar Dubey Roger Narayan Seeram Ramakrishna Department of Mechanical Engineering Center for Nanotechnology and SustainabilityNational University of SingaporeSingapore 117581Singapore Ocular Infections and Antimicrobials Research Group Singapore Eye Research InstituteThe Academia20 College RoadDiscovery TowerSingapore 169856Singapore Institute of Materials Research and Engineering(IMRE) Agency for Science Technology and Research(A*STAR)#08‑032 Fusionopolis WayInnovisSingapore 138634Singapore Lee Kong Chian School of Medicine Nanyang Technological University SingaporeClinical Sciences Building11 Mandalay RoadSingapore 308232Singapore Department of Pharmacy National University of Singapore18 Science Drive 4Singapore 117543Singapore Academic Clinical Program in Ophthalmology and Visual Sciences Academic Clinical Program Duke-NUS Medical SchoolSingapore 169857Singapore National Skin Centre 1 Mandalay RoadSingapore 308205Singapore Department of Materials and Polymer Engineering Faculty of EngineeringHakim Sabzevari UniversitySabzevar ***Iran Faculty of Dentistry National University of SingaporeSingapore 119085Singapore ORCHIDS:Oral Care Health Innovations and Designs Singapore National University of SingaporeSingaporeSingapore 119085Singapore Department of Biomedical Engineering University of North Carolina at Chapel HillChapel HillNC 27514USA

Bacterial infections and multidrug-resistant bacteria are major health burdens in wound *** antimicrobial agents,e.g.,ε-polylysine(ε-PL),provide a broad spectrum of antibacterial properties and support dermal cell ***,ε-PL was incorporated into polycaprolactone(PCL)/gelatin electrospun scaffolds collected at varying rotation ***,the samples were crosslinked using dopamine hydrochloride to provide highly proliferative dressings with broad antimicrobial *** morphological study showed that the electrospun wound dressings were smooth,continuous,and bead-free,with a mean diameter ranging from 267±7 to 331±8 nm for all random and aligned *** fiber alignment of the electrospun PCL/gelatin scaffolds improved their tensile strength and ***,nanofiber mats are highly hydro-philic,which is crucial for an efficient wound *** samples also demonstrated high antimicrobial properties against common wound bacterial strains,including methicillin-resistant Staphylococcus aureus(MRSA),Staphylococcus aureus(SA),Escherichia coli(EC),Acinetobacter baumannii(AB),and Pseudomonas aeruginosa(PA).Mammalian cell prolifera-tion and morphology assays involving primary human dermal fibroblasts(hDFs)and immortalized keratinocytes(HaCaT)showed excellent biocompatibility of the electrospun mats and remarkably aligned ***,aligned mats showed more cell migration than randomly oriented mats,which is desirable for more efficient wound ***,it can be concluded that aligned PCL/gelatin mats containingε-PL are promising for potential use in wound dressings.

关键词： Electrospinning Wound healing Fiber alignment Biomaterials Nanofiber dressing Bacterial infections

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Adaptive Neuro-Fuzzy Inference System As New Real-Time Approach For Parkinson Seizures Prediction

Adaptive Neuro-Fuzzy Inference System As New Real-Time Appro...

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International Conference on Bio-engineering for Smart Technologies (BioSMART)

作者： Alaa Daher Sally Yassin Hadi Alsamra Hassan Abou Ali Biomedical Engineering Program Faculty Of Engineering Beirut Arab University Debbieh Lebanon Biomedical Engineering Program Faculty Of Engineering Beirut Arab University

ISBN: (纸本)9781665408110

Parkinson's disease, as a definition, is a neurological condition that affects the brain and causes tremors, stiffness, and difficulties walking, balancing, and coordinating. Symptoms of Parkinson's disease normally appear gradually and worsen with time. People with Parkinson's disease may have difficulties walking and speaking as the condition develops. Numerous recent studies have shown a direct association between Parkinson's disease and the incident of having epileptic seizures, which is defined to be a burst of the uncontrollable electrical activity of the brain cells, that is associated with an increased risk of sudden unexplained deaths. This project aims to obtain a real-time seizure prediction system for Parkinson's disease patients based on the electroencephalogram (EEG) signals, enabling the detection of a seizure before it happens. This will hopefully save them from risky situations or sudden death, as they will be alerted and have the time enabling them to be prepared and take the needed precautions and steps to prevent the seizure from happening. For this project, we've used the Neural Network and the ANFIS (“udaptive neuro-fuzzy inference system ‘’) to process and analyze the electroencephalogram (EEG) data signals of the Parkinson patients to detect seizures starting point.

关键词： Legged locomotion Fuzzy logic Adaptive systems Parkinson's disease Brain cells Electroencephalography Real-time systems

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Development of LIDAR Based Gait Training System with Gait Assessment 17

Development of LIDAR Based Gait Training System with Gait As...

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17th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2020

作者： Sakdarakse, Supharak Somboon, Pakpum Chulalongkorn University Biomedical Engineering Program Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9781728164861

Due to the limitations of the clinical gait training and gait assessment devices, the gait training systems with capabilities of gait parameter measurement have been developed so that patients can use these devices in ambulatory condition for daily rehabilitation. This research proposes a wheeled walker equipped with a 2D laser scanner (LIDAR) for a novel prototype of gait training system. Gait parameters such as stride length and step length were concurrently measured based on this developed system and a clinical gait assessment system (Qualisys) in order to investigate the performance of this prototype. It was found that the assessments of these gait parameters were appropriately preformed with the sufficient accuracy. This developed system may effectively enable daily gait training for community use. © 2020 IEEE.

关键词： Optical radar

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Mitochondrial dynamics, biogenesis, mitophagy and oxidative stress in gestational obesity: A review

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Endocrine and Metabolic Science 2025年 17卷

作者： Rodríguez-Córdoba, Karenth Milena Soto, Sofia Agreda Garzón, Jenniffer Alejandra Castellanos Pustovrh-Ramos, Maria Carolina Faculty of Basic Sciences Department of Morphology TEBLAMI Research Group Universidad del Valle Cali 7600 Colombia Faculty of Engineering Biomedical Engineering Program Unidad Central del Valle del Cauca Valle del Cauca Tuluá 763029 Colombia

Maternal obesity is a major global health problem with serious implications for maternal and fetal well-being. It creates a lipotoxic environment in the placenta, characterised by increased inflammation, oxidative stress and disturbances in mitochondrial dynamics and biogenesis. The aim of this review is to explore the intricate interactions between mitochondrial dynamics, biogenesis and mitophagy in the context of gestational obesity. Adverse mitochondrial adaptations associated with maternal obesity contribute to placental dysfunction, impairing its ability to support healthy fetal development and increasing the risk of metabolic, cardiovascular and neurodegenerative diseases in the offspring. In addition, mitochondrial dysfunction exacerbates oxidative stress, creating a vicious cycle that further impairs cellular processes. The findings highlight the urgent need for targeted interventions to improve mitochondrial function and placental health, ultimately reducing long-term health risks for both mother and child. © 2024 The Author(s)

关键词： Fetal programming Gestational obesity Metabolic diseases Mitochondrial dynamics Oxidative stress Placenta Pregnancy

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Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children 46

Complexity Analysis based on Parietal Fuzzy Entropy to Facil...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Huang, I-Wen Jheng, Yu-Ci Chen, I-Chun Ko, Li-Wei National Yang Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300040 Taiwan National Yang Ming Chiao Tung University Institute of Electrical and Control Engineering Hsinchu300040 Taiwan National Yang Ming Chiao Tung University International Program in Interdisciplinary Neuroscience College of Biological Science and Technology Hsinchu300040 Taiwan Ton-Yen General Hospital Department of Physical Medicine and Rehabilitation Hsinchu302048 Taiwan Kaohsiung Medical University Drug Development and Value Creation Research Center Kaohsiung807378 Taiwan

ISBN: (纸本)9798350371499

Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the development of neurons in children. Therefore, early and accurate diagnosis of ADHD in young children is of paramount importance. In this study, the 8-channel wireless wearable EEG measurement device was employed to record EEG data from 30 children diagnosed with ADHD and 30 typical development (TD) young children aged 4-7 years. The data was collected both during rest and while the children performed a Kiddie Continuous Performance Test (K-CPT). We extract relative power spectral density (PSD) unaffected by factors like skull resistance and thickness. Additionally, a range of complex entropy values based on the time domain were extracted. These included sample entropy (SaEn), permutation entropy (PeEn), singular value decomposition entropy (SvdEn), and fuzzy entropy (FuEn). We compare the performance of k-Nearest Neighbors (kNN), Support Vector Machine (SVM), and XGBoost, and utilized the sequential forward selection (SFS) feature selection method in the wrapper approach. Through this process, the study identified the most effective EEG data segments and feature subsets. The findings indicated that using a combination of resting and K-CPT EEG data yielded greater discriminability. Notably, the study found that extracting beta power from the right occipital lobe along with fuzzy entropy from the parietal lobe resulted in optimal accuracy of 90% in distinguishing between children with ADHD and TD children. These outcomes highlight the potential of relative PSD and complexity metrics to support the clinical diagnosis of early ADHD. Furthermore, these metrics may contain unique neurobiomarkers that could be valuable for devising early intervention strategies. © 2024 IEEE.

关键词： Diseases

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Mussel-Inspired and Bioclickable Peptide Engineered Surface to Combat Thrombosis and Infection

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Research 2022年第3期2022卷 91-104页

作者： Xiaohui Mou Hongbo Zhang Hua Qiu Wentai Zhang Ying Wang Kaiqin Xiong Nan Huang Hélder A.Santos Zhilu Yang Affiliated Dongguan Hospital Southern Medical UniversityDongguanGuangdong 523059China Guangdong Provincial Key Laboratory of Shock and Microcirculation GuangzhouGuangdong 510080China Key Laboratory of Advanced Technologies of Materials Ministry of EducationSchool of Materials Science and EngineeringSouthwest Jiaotong UniversityChengdu 610031China Pharmaceutical Sciences Laboratory Åbo Akademi UniversityTurku Biosciences CenterUniversity of Turku andÅbo Akademi University20520 TurkuFinland State Key Laboratory of Molecular Engineering of Polymers Fudan UniversityShanghai 200438China Department of Biomedical Engineering and W.J.Kolff Institute for Biomedical Engineering and Materials Science University Medical Center Groningen/University of GroningenAnt.Deusinglaan 19713 AV GroningenNetherlands Drug Research Program Division of Pharmaceutical Chemistry and TechnologyFaculty of PharmacyUniversity of HelsinkiFI-00014 HelsinkiFinland

Thrombosis and infections are the two major complications associated with extracorporeal circuits and indwelling medical devices,leading to significant mortality in *** address this issue,here,we report a biomimetic surface engineering strategy by the integration of mussel-inspired adhesive peptide,with bio-orthogonal click chemistry,to tailor the surface functionalities of tubing and *** by mussel adhesive foot protein,a bioclickable peptide mimic(DOPA)4-azidebased structure is designed and grafted on an aminated tubing robustly based on catechol-amine ***,the dibenzylcyclooctyne(DBCO)modified nitric oxide generating species of 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid(DOTA)chelated copper ions and the DBCO-modified antimicrobial peptide(DBCO-AMP)are clicked onto the grafted surfaces via bio-orthogonal *** combination of the robustly grafted AMP and Cu-DOTA endows the modified tubing with durable antimicrobial properties and ability in long-term catalytically generating NO from endogenous snitrosothiols to resist adhesion/activation of platelets,thus preventing the formation of ***,this biomimetic surface engineering technology provides a promising solution for multicomponent surface functionalization and the surface bioengineering of biomedical devices with enhanced clinical performance.

关键词： DOTA generating Engine

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A physical picture of liquid–liquid phase separation of proteins

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Journal of Molecular Liquids 2025年 424卷

作者： Kinoshita, Masahiro Hayashi, Tomohiko Nakamura, Yuka Yoshimori, Akira Katahira, Masato Nagata, Takashi Department of Chemistry of Science Chiba University 1-33 Yayoi-cho Inage Chiba263-8522 Japan Institute of Advanced Energy Kyoto University Kyoto Uji611-0011 Japan Interdisciplinary Program of Biomedical Engineering Assistive Technology and Art and Sports Sciences Faculty of Engineering Niigata University 8050 Ikarashi 2-no-cho Nishi-ku Niigata950-2181 Japan Department of Physics Niigata University Niigata950-2181 Japan

Liquid-liquid phase separation (LLPS) of proteins, by which they assemble and partition into a protein-dense phase and a protein-dilute phase, has caught much attention due to its essential roles in a variety of biological processes. Nevertheless, its mechanism remains to be unveiled. Here we develop a physical picture covering almost all the aspects of LLPSs of diverse systems. In our view, when only the proteins are looked at, one of the two phases is liquid-like and the other is gas-like. We relate LLPS to gas–liquid phase separation (GLPS) of simple fluids wherein the pivotal quantity is kBT (kB is the Boltzmann constant and T is the absolute temperature) divided by the absolute value of the minimum of interaction potential between fluid particles. GLPS occurs only if the pivotal quantity is sufficiently small. For LLPS, the interaction potential must be replaced by the potential of mean force (PMF) between protein molecules in aqueous solution. We do not explicitly consider aqueous solution, and its influence on properties of protein molecules is incorporated in PMF. PMF can reach its deep minimum when the two protein molecules associate. A physical interpretation is given for GLPS from a statistical-mechanics point of view, and it is extended to LLPS. In the extension, we discuss not only the similarities between the two phase separations but also the physical factors to be taken into account only in LLPS due to the fact that proteins are large molecules possessing polyatomic structures and they are immersed in aqueous solution. LLPS can be categorized as a biological self-assembly process. By reconsidering the results obtained in our earlier studies on biological self-assembly processes, we specify the entropic and energetic factors driving or opposing coacervation (association) of protein molecules followed by LLPS. We clarify the differences between LLPSs of folded proteins (i.e., proteins in the native states) and intrinsically disordered proteins. There c

关键词： Alkali halides

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