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arXiv 2025年

作者： Cao, Ruiming Meng, Guanghan Waller, Laura Department of Bioengineering University of California Berkeley BerkeleyCA94720 United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94720 United States School of Optometry and Vision Science University of California Berkeley BerkeleyCA94720 United States Chan Zuckerberg Imaging Institute Redwood CityCA94605 United States

Structured illumination microscopy (SIM) uses a set of images captured with different illumination patterns to computationally reconstruct resolution beyond the diffraction limit. Here, we propose an alternative approach using a single speckle illumination pattern and relying on inherent sample motion to encode the super-resolved information in multiple raw images. From a set of raw fluorescence images captured as the sample moves, we jointly estimate both the sample motion and the super-resolved image. We demonstrate the feasibility of the proposed method both in simulation and in experiment. © 2025, CC BY.

关键词： Fluorescence microscopy

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Wireless,battery-free,and fully implantable electrical neurostimulation in freely moving rodents

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Microsystems & Nanoengineering 2021年第4期7卷 127-138页

作者： Alex Burton Sang Min Won Arian Kolahi Sohrabi Tucker Stuart Amir Amirhossein Jong Uk Kim Yoonseok Park Andrew Gabros John A.Rogers Flavia Vitale Andrew G.Richardson Philipp Gutruf Department of Biomedical Engineering University of ArizonaTucsonAZ 85721USA Department of Electrical and Computer Engineering Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea Department of Neurosurgery Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA 19104USA Querrey Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIL 60208USA Center for Bio-Integrated Electronics Northwestern UniversityEvanstonIL 60208USA Department of Mechanical Engineering Northwestern UniversityEvanstonIL 60208USA Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Department of Materials Science and Engineering Northwestern UniversityEvanstonIL 60208USA Department of Neurological Surgery Feinberg School of MedicineNorthwestern UniversityChicagoIL 60611USA Department of Neurology BioengineeringPhysical Medicine&RehabilitationCenter for Neuroengineering and TherapeuticsUniversity of PennsylvaniaPhiladelphiaPA 19104USA Bio5 Institute and Neuroscience GIPP University of ArizonaTucsonAZ 85721USA Department of Electrical and Computer Engineering University of ArizonaTucsonAZ 85721USA

Implantable deep brain stimulation(DBS)systems are utilized for clinical treatment of diseases such as Parkinson's disease and chronic ***,long-term efficacy of DBS is limited,and chronic neuroplastic changes and associated therapeutic mechanisms are not well *** and mechanistic investigation,typically accomplished in small animal models,is difficult because of the need for chronic stimulators that currently require either frequent handling of test subjects to charge battery-powered systems or specialized setups to manage tethers that restrict experimental paradigms and compromise *** overcome these challenges,we demonstrate a fully implantable,wireless,battery-free platform that allows for chronic DBS in rodents with the capability to control stimulation parameters digitally in real *** devices are able to provide stimulation over a wide range of frequencies with biphasic pulses and constant voltage control via low-impedance,surface-engineered platinum *** devices utilize off-the-shelf components and feature the ability to customize electrodes to enable broad utility and rapid *** of the system is demonstrated with a readout of stimulation-evoked neural activity in vivo and chronic stimulation of the medial forebrain bundle in freely moving rats to evoke characteristic head motion for over 36 days.

关键词： stimulation battery moving

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Quantum Diamond Microscope for Narrowband Magnetic Imaging with High Spatial and Spectral Resolution

arXiv

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arXiv 2024年

作者： Yin, Zechuan Tang, Jiashen Hart, Connor A. Blanchard, John W. Xiang, Xinyan Satyajit, Saipriya Bhalerao, Smriti Tao, Tao DeVience, Stephen J. Walsworth, Ronald L. Department of Electrical Engineering and Computer Science University of Maryland College ParkMD20742 United States Quantum Technology Center University of Maryland College ParkMD20742 United States Department of Physics University of Maryland College ParkMD20742 United States Fischell Department of Bioengineering University of Maryland College ParkMD20742 United States

The quantum diamond microscope (QDM) is a recently developed technology for near-field imaging of magnetic fields with micron-scale spatial resolution, under ambient conditions. In the present work, we integrate a QDM with a narrowband measurement protocol and a lock-in camera;and demonstrate imaging of radiofrequency (RF) magnetic field patterns produced by microcoils, with spectral resolution ≈ 1 Hz. This RF-QDM provides multi-frequency imaging with a central detection frequency that is easily tunable over the MHz-scale, allowing spatial discrimination of both crowded spectral peaks and spectrally well-separated signals. The present instrument has spatial resolution ≈ 2 µm, field-of-view ≈ 300 × 300 µm2, and per-pixel sensitivity to narrowband fields ∼ 1 nT·Hz−1/2. Spatial noise can be reduced to the picotesla scale by signal averaging and/or spatial binning. The RF-QDM enables simultaneous imaging of the amplitude, frequency, and phase of narrowband magnetic field patterns at the micron-scale, with potential applications in real-space NMR imaging, AC susceptibility mapping, impedance tomography, analysis of electronic circuits, and spatial eddy-current-based inspection. © 2024, CC BY.

关键词： Eddy current testing

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Exploring the non-Hermitian topology of exceptional points in lasers and fiber loops

Exploring the non-Hermitian topology of exceptional points i...

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2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023

作者： Schumer, Alexander Nasari, Hadiseh Liu, Yuzhou G.N. Lopez-Galmiche, Gisela Leshin, Jason Lopez-Aviles, Helena E. Ding, Lei Alahmadi, Yousef Hassan, Absar U. Zhong, Qi Rotter, Stefan LiKamWa, Patrick Christodoulides, Demetrios N. Khajavikhan, Mercedeh ViennaA-1040 Austria Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States CREOL The College of Optics & Photonics University of Central Florida OrlandoFL United States Center of Excellence for Telecomm Applications Joint Centers of Excellence Program King Abdul Aziz City for Science and Technology Riyadh11442 Saudi Arabia Department of Physics & Astronomy University of Southern California Los AngelesCA United States

ISBN: (纸本)9798350345995

When non-Hermitian eigenvalue surfaces form intertwined Riemann surfaces, the corresponding non-Hermitian singularities, also know as exceptional points (EPs), are located at the center of this specific topology. Various experimental platforms have recently been presented in which interesting new physics associated with these branch point singularities can be explored. In particular, it has been shown that dynamically encircling EPs may lead to a so-called chiral state transfer. The chirality in this context refers to the fact that in such an encircling protocol, the final state at the end of an EP-enclosing loop solely depends on the encircling direction (clockwise or counterclockwise), but not on the initial state. Such a chiral behavior is intrinsically linked to the state vector deviating from adiabatically following the system's eigenstates associated with the eigenvalue surfaces;instead, due to the non-Hermitian violation of the adiabatic theorem, non-adiabatic jumps let the system undergo transitions from lossy eigenstates to eigenstates with gain. Here, we present two experiments that implement concepts that go beyond this established paradigm. © 2023 IEEE.

关键词： Topology

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Learn How to Design High-Quality Qualitative Educational Research! - A Workshop for Disciplinary STEM Faculty by Disciplinary STEM Faculty 53

Learn How to Design High-Quality Qualitative Educational Res...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Morelock, John R. Jarvie-Eggart, Michelle Chenette, Heather Hooshangi, Sara Chestnutt, Betsy Wilson, Sarah Bolhari, Azadeh Dodson, Kirsten Pavlova, Iglika Reck, Rebecca Transformations Institute University of Georgia Engineering Education AthensGA United States Michigan Technological University Engineering Fundamentals HoughtonMI United States Rose-Hulman Institute of Technology Chemical Engineering Terre HauteIN United States Virginia Tech Computer Science - Northern Virginia Center WashingtonDC United States University of Tennessee Knoxville Engineering Fundamentals KnoxvilleTN United States University of Kentucky Chemical Engineering LexingtonKY United States University of Colorado Boulder Environmental Engineering Program BoulderCO United States Lipscomb University Mechanical Engineering NashvilleTN United States University of North Carolina Greensboro Department of Biology GreensboroNC United States University of Illinois Urbana-Champaign Bioengineering ChampaignIL United States

ISBN: (纸本)9798350336429

The purpose of this workshop-designed for instructional and disciplinary STEM faculty interested in learning about qualitative research-is to (1) introduce participants to high-quality qualitative research design and (2) practice this design process alongside disciplinary STEM faculty to expand their STEM education research abilities and network. We will do so using the ProQual approach, a methodologically unencumbered and widely accessible way of thinking about qualitative research design that was deployed and refined over the last three years as part of the NSF-funded ProQual Institute for Research Methods [1]. This workshop will be conducted by ProQual Institute alumni, who are culturally sensitive to the challenges faced by disciplinary STEM faculty. Leveraging a propagation model of effecting academic change [2], the workshop leaders will serve as a community of practice to help participants move their educational research ideas forward during and after the workshop. In doing so, we strive to further FIE's mission to create a collaborative, supportive, and inclusive community of educational researchers. © 2023 IEEE.

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A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19

A Neuroimaging ML-Based Framework for Anosmia Grading in Cov...

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IEEE International Symposium on Biomedical Imaging

作者： Hossam Magdy Balaha Mayada Elgendy Ahmed Alksas Mohamed Shehata Norah Saleh Alghamdi Fatma Taher Mohammed Ghazal Mahitab Ghoneim Eslam Hamed Fatma Sherif Ahmed Elgarayhi Mohammed Sallah Mohamed Abdelbadie Salem Elsharawy Kamal Harpal Sandhu Ayman El-Baz Department of Bioengineering J.B. Speed School of Engineering University of Louisville Louisville USA Applied Theoretical Physics Research Group Physics Department Faculty of Science Mansoura University Egypt Department of Computer Sciences College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Saudi Arabia The College of Technological Innovation Zayed University Dubai UAE Electrical Computer and Biomedical Engineering Depatrment Abu Dhabi University UAE Department of Radiology Faculty of Medicine Mansoura University Egypt Otolaryngology Department Faculty of Mediine Mansoura University Egypt Higher Institute of Engineering and Technology Egypt

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

SARS-CoV-2 is the cause of the acute respiratory illness COVID-19. In order to identify whether a COVID-19 patient has normal, moderate, or severe anosmia, this study suggests a computer-assisted diagnostic system. It utilizes fluid-attenuated inversion recovery Magnetic Resonance Imaging and Diffusion Tensor Imaging to extract the olfactory nerve’s appearance, morphology, and diffusivity markers. The suggested CAD system consists of the following stages: (1) extract appearance markers, morphology markers, and diffusivity markers, (2) apply markers fusion, and (3) select the most promising classifier as the basis for the decision and the relevant performance indicators. The current work is unique in that it uses an ensemble of the trained, tuned, and improved ML classifiers to identify OB anosmia using majority voting. From the fusion tests using different folds, stacking boosted the weight accuracy, weighted precision, weighted specificity, weighted sensitivity, and weighted F1-score to 85.30%, 80%, 89.50%, 78.90%, and 78.30% respectively. Regarding the various performance criteria, the LGBM outperforms other ML classifiers.

关键词： COVID-19 Neuroimaging Sensitivity Shape Stacking Olfactory Morphology

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Design of Modular Readout Electronics for Cadmium Zinc Telluride (CZT) PET Imaging of the Plants Rhizosphere

Design of Modular Readout Electronics for Cadmium Zinc Tellu...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Muhammad Nasir Ullah Andrew Groll Derek Innes Shiva Abbaszadeh Craig S. Levin Department of Radiology Stanford University California USA Department of Radiology and Molecular Imaging Program at Stanford (MIPS) Stanford University California USA Department of Electrical and Computer Engineering University of California Santa Cruz Santa Cruz California USA Departments of Radiology Electrical Engineering Bioengineering Physics Molecular Imaging Program at Stanford MIPS) Stanford University Stanford California USA

To study and quantify the dynamic behavior of a plant’s soil-root interface (rhizosphere), we are developing a hybrid positron emission tomography-computed tomography (PET-CT) system to obtain in situ 3D images to help in modeling the Earth System Model (ESM) in a precise manner. ESM integrates the relevant aspects of the earth system to study the state of climate under various of conditions. The proposed system aims to understand the complex bi-directional flow of carbon in the rhizosphere by quantitatively measuring 11 C concentration. The rhizosphere imaging requires the creation of a PET system with high sensitivity and excellent spatial resolution; a dual panel geometry of cadmium zinc telluride (CZT) detectors with fine electrodes is being refined and scaled to a 4-panel system to answer the demands. This work focuses on the development, evaluation, and integration of the critical intermediate board (IB) needed to support approximately 5 thousand channels in the CZT PET system and provide modularity to the system. A Rigid-Flex PCB approach is adopted to design the IB. The rigid region will provide firm mechanical support for direct placement of the necessary electronic components and connectors, and the flex region will help to align the subsequent readout boards at the backend of the IB while maintaining the dense packing fraction at front-end where the CZT crystals are connected. Three CZT module (each module comprising of 2-crystals of 39x39 x5 mm 3 sandwiched in anode-cathode-cathode-anode configuration) along with 1-mm thick mechanical support on either side of modules will be directly attached to two IBs which forms one tray to modularize the entire system. This modularized design will help to assemble and dissemble the system in an efficient way and minimize the chance of damaging the crystal assemblies. This new IB design will address the troubleshooting/repairing experience and modularity issues that were taking significant amount of time and energy

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Dispersion of cobalt ferrite functionalized graphene nanoplatelets in PLA for EMI shielding applications 36

Dispersion of cobalt ferrite functionalized graphene nanopla...

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36th Technical Conference of the American Society for Composites 2021: Composites Ingenuity Taking on Challenges in Environment-Energy-Economy, ASC 2021

作者： Anurakparadorn, Kanat Taub, Alan Michielssen, Eric Department of Materials Science and Engineering Macromolecular Science and Engineering Program University of Michigan 2300 Hayward St Ann ArborMI48109 United States Department of Mechanical Engineering University of Michigan 2350 Hayward St Ann ArborMI48109 United States Department of Electrical Engineering and Computer Science University of Michigan 1310 Beal Ave Ann ArborMI48109 United States

ISBN: (纸本)9781713837596

The proliferation of wireless technology calls for the development of cost-effective Electromagnetic Interference (EMI) shielding materials that reduce the susceptibility of high-speed electronic circuits to undesired incoming radiation. Ideally, such materials offer protection over wide frequency ranges and are insensitive to the polarization or angle of incidence of the impinging fields. Here, next-generation EMI shielding materials composed of polymer composites with conductive and magnetic fillers are introduced. It is shown that careful control of the concentration and dispersion of the polymers’ conductive and magnetic constituents permits tuning of the composites’ intrinsic electrical and magnetic properties. The resulting EMI shields are lightweight, cheap and offer greater protection than traditional metal gaskets and foams. In this work, cobalt ferrite magnetic nanoparticles (CoFe2O4) decorated on graphene-based material were dispersed in polylactic acid (PLA) matrix for high EM absorption level in X-band (8-12 GHz). The decoration of the magnetic particles was performed on the as-prepared conductive graphene nanoplatelets (GNP) and reduced graphene oxide (rGO). GNP composites exhibited higher DC conductivity, and permittivity than rGO composites. This is attributed to issues associated with the reduction process, including a lack of conductivity due to the insulated oxygen functional groups and the reduction in the lateral size. Compared with rGOs, the lack of out-plane functional groups causes the cobalt ferrite nanoparticles to agglomerate and not cover the entire surface of the GNPs. These morphological differences improve the magnetization and EM absorption of the composite system. The compatibilizer (pyrene-PLA-OH) was added to the composites to enhance dispersion of the GNPs in the polymer matrix which benefits in higher absorption of the shield. The influence of the compatibilizer on parameter, the reflection loss (RL) of the composite were determi

关键词： Cost effectiveness

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Mapping Research Trends and Visualization of E-learning in Entrepreneurship in the Last Ten Years 1

Mapping Research Trends and Visualization of E-learning in E...

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1st International Conference on electrical and Information Technology, IEIT 2021

作者： Maulana, Fairuz Iqbal Candra Pratama, Febby Permana, Frihandhika Khaeruddin Herasmara, Ridho School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia Diploma III Electronic Technology Vocational Study Program University of Muhammadiyah Malang Malang Indonesia Electrical Engineering Faculty of Science and Technology Raden Rahmat Islamic University Malang Indonesia

ISBN: (纸本)9781665417860

E-learning is a system or concept of education or learning process that utilizes information technology in the teaching and learning process anywhere and anytime. E-learning is widely applied in various fields of science. In this study, we draw scientific efforts on e-learning and entrepreneurship from publications in the Scopus database. We reviewed 218 academic documents published over the last 10 years, from 2011 to 2020. Our method is a global bibliometric analysis by visualizing connected networks using Vosviewer. The method used consists of five stages: determining search keywords, initial search results, refinement of search results, initial compilation, and data analysis. We researched several countries, affiliations, authors, subject areas, to types of publications that have relations in this field. Among the most published and indexed articles by Scopus, papers published by researchers in the China have the highest number of publications is 36 academic documents, followed by United States 18 academic publications, and Italy with 16 academic publications. The results showed that it had a limited impact, and through visualization, the network presented research gaps that future researchers should fill. The processed data shows the pattern and trend of increasing the number of international publications on E-learning in the field of entrepreneurship indexed by Scopus. Finally, we address the limitations of this study. © 2021 IEEE.

关键词： Visualization

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Social Media Analysis using Sentiment Analysis on COVID-19 from Twitter

Social Media Analysis using Sentiment Analysis on COVID-19 f...

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International Conference on Information Technology, Information Systems and electrical engineering (ICITISEE)

作者： Fairuz Iqbal Maulana Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

The development of the internet is getting faster, participating in encouraging the emergence of new and innovative information. In filtering the various information that appears, we need a recommended system to perform well for users in today's internet era. A well-performing recommendation system in question is a reliable recommendation algorithm. This algorithm is fundamental to analyzing various information, such as responses on social media based on user behavior data related to the topic of COVID. This data is crawled from tweets on social media Twitter. The data analysis algorithm obtained uses Python, which is then visualized in the form of a diagram. The processed data is user comments on Twitter, and the text data is analyzed using Python, using more than 60000 data sets taken to form visualizations and conclusions. From sentiment analysis, polarity and subjectivity data are obtained to be analyzed, which are negative, neutral, or positive. The result is show positive tweets with 29.2%, negative tweets is 13%, and 57.8% neutral tweets. Lastly, sentiment analysis can help people effectively infer vast and complex data from social media like Twitter.

关键词： COVID-19 Sentiment analysis Analytical models Data analysis Social networking (online) Blogs Data visualization

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