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Simultaneous Multicolor Spectroscopic Single-molecule Localization Microscopy Image Reconstruction using Machine Learning

Simultaneous Multicolor Spectroscopic Single-molecule Locali...

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2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Gaire, Sunil Kumar Flowerday, Ethan Frederick, Jane Gong, Ruyi Ying, Leslie Zhang, Hao F. Backman, Vadim Department of Electrical and Computer Engineering North Carolina A&T State University GreensboroNC27411 United States Department of Biomedical Engineering Northwestern University EvanstonIL60208 United States Department of Electrical Engineering The State University of New York at Buffalo BuffaloNY14260 United States

ISBN: (纸本)9781957171289

We present all machine learning-based reconstruction approach for simultaneous multicolor spectroscopic super-resolution microscopy. Machine learning is used for localization and spectral classification. Reconstruction of the simultaneous two-color imaging of the nanoruler sample with a mark-to-mark distance of 40 nm is presented. © 2023 The Author(s).

关键词： Machine learning

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Online 3D Bin Packing for Novel Objects Based on Deep Reinforcement Learning

Online 3D Bin Packing for Novel Objects Based on Deep Reinfo...

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2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023

作者： Chien, Shao-Yu Wong, Ching-Chang Tamkang University College of Engineering Doctoral Program in Robotics New Taipei City25137 Taiwan Tamkang University Electrical and Computer Engineering Department New Taipei City25137 Taiwan

ISBN: (纸本)9798350302714

In this paper, a method using deep reinforcement learning is proposed to deal with the 3D online bin packing problem. The packing objects are not limited to several specific or fixed cuboid objects, but are composed of more than a thousand objects and randomly generated cuboids, which make the trained policy network can handle novel unknown objects. In addition, the posture of the object in the box can be any angle, not limited to horizontal and vertical. In the proposed method, four voxel maps are used as inputs, and a Soft Actor-Critic (SAC) algorithm is used to train a policy network. On the other hand, in order to deal with various objects with irregular shapes, a packing task simulator with physics engine enable the policy network to learn the state of falling and stacking objects. In terms of training environment of deep reinforcement learning, the proposed method can be applied to boxes of different sizes because of the scalable image information. Moreover, a reward function and a training strategy with gradually increasing difficulty are proposed to effectively improve the learning of policy network. In terms of experimental results, the results on a random object bin packing task in a simulator illustrate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Reinforcement learning

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Multimodal fluorescence microscopy and 3D quantitative phase imaging/refractive index tomography in thick tissue samples 10

Multimodal fluorescence microscopy and 3D quantitative phase...

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Quantitative Phase Imaging X 2024

作者： Li, Zhenmin Guang, Zhe Casteleiro Costa, Paloma Filan, Caroline Bharadwaj, Srinidhi Robles, Francisco E. School of Electrical and Computer Engineering Georgia Institute of Technology United States Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Emory University United States George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology United States

ISBN: (纸本)9781510669635

Phase imaging and fluorescence microscopy provide valuable complementary information, and individually form the basis for a significant portion of the routing biological and biomedical optical imaging performed today. While multimodal phase and fluorescence microscopy has been explored for thin transparent samples to obtain structural information based on the refractive index distribution (with phase contrast) and molecular content (with fluorescence), combining these complementary technologies to study thick samples has been challenging and remains largely unexplored. This work presents the results of a study that combines quantitative phase imaging (QPI) and refractive index (RI) tomography in thick samples - using quantitative oblique back illumination - and bright field fluorescence deconvolution microscopy. The two technologies use a simple bright field microscope configuration with epi-illumination and through-focus z-stack acquisition, along with a deconvolution algorithm, to achieve 3D imaging. Phase and RI information is acquired nearly simultaneously with the fluorescence information with inherent co-registration of the two modalities. In this work, we will present the theoretical underpinning of this multimodal approach, describe the simple multimodal system, and show imaging results of thick tissues, such as labeled mice brains. This multimodal imaging approach could help biologists and clinicians gain a more comprehensive understanding of the tissue's morphology and molecular composition, and can be widely applied across a number of biological and biomedical disciplines, including neuroscience, pathology, and oncology. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Refractive index

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Brain–computer interfaces for human gait restoration

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Control Theory and Technology 2021年第4期19卷 516-528页

作者： Zoran Nenadic Department of Biomedical Engineering University of CaliforniaIrvineCA 92697USA Department of Electrical Engineering and Computer Science University of CaliforniaIrvineCA 92697USA

In this review article, we present more than a decade of our work on the development of brain–computer interface (BCI)systems for the restoration of walking following neurological injuries such as spinal cord injury (SCI) or stroke. Most ofthis work has been in the domain of non-invasive electroencephalogram-based BCIs, including interfacing our system witha virtual reality environment and physical prostheses. Real-time online tests are presented to demonstrate the ability ofable-bodied subjects as well as those with SCI to purposefully operate our BCI system. Extensions of this work are alsopresented and include the development of a portable low-cost BCI suitable for at-home use, our ongoing eforts to develop afully implantable BCI for the restoration of walking and leg sensation after SCI, and our novel BCI-based therapy for strokerehabilitation.

关键词： Brain-computer interfaces Neuroprosthesis Spinal cord injury Paraplegia Gait

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A Method for Minimally-Invasive Injection of Wireless Microdevices into Brain Tissue 46

A Method for Minimally-Invasive Injection of Wireless Microd...

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

作者： Acebal, Cassandra Kainth, Gurleen Villanueva, Harry Hajjar, Ava Fuhrer, Valery Wanczuk, Paul Lim, Alexander S. Srinivasan, Shriya Otto, Kevin J. Khalifa, Adam University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering United States University of Florida Department of Psychology United States University of Florida Department of Biology United States University of Florida Department of Industrial and Systems Engineering United States Harvard University School of Engineering and Applied Sciences United States University of Florida Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350371499

As the field advances with the introduction of a new generation of electrodes, the demand for refined injection methodologies becomes evident. These electrodes, frequently termed microdevices, are intricately microfabricated and require precise insertion into neural tissue. Despite the existence of conventional injection methods, there is a pressing need to formulate strategies aimed at minimizing the damage associated with the deployment of microdevices of varied sizes and configurations. In recognition of this need, the introduced technique can be applied for damage mitigation when injecting microdevices into brain tissue. We introduce a novel injection aid and describe an injection technique that results in reduced tissue damage. The damage of injecting into agarose and the brain, with and without the aid of a tool that creates microvibrations is evaluated. Cryosectioning data is presented to assess the damage caused by the injection, which was found to be 7.4% less when using microvibrations. © 2024 IEEE.

关键词： Implant Injection Miniaturized Minimally-Invasive Wireless

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Advances in Fibrin-Based Bioprinting for Skin Tissue Regeneration: Exploring Design, and Innovative Approaches

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biomedical Materials and Devices 2025年第1期3卷 330-348页

作者： Zandi, Nooshin Daniele, Michael Brown, Ashley Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill and North Carolina State University Raleigh NC United States Comparative Medicine Institute North Carolina State University Raleigh NC United States Department of Electrical & amp Computer Engineering North Carolina State University Raleigh NC United States

The field of tissue engineering and regenerative medicine has made significant progress, especially in the realm of biofabrication, aiming to create functional tissues and organs for transplantation, ultimately transforming medical treatments. Fibrin, a versatile and biocompatible biomaterial derived from the clotting cascade, has emerged as a crucial component in the development of bioinks for various tissue regeneration applications. This review explores the multifaceted role of fibrin-based bioinks in promoting tissue regeneration, with a specific focus on skin tissue engineering. We describe the properties and characteristics of fibrin as a biomaterial, its potential for promoting angiogenesis, and its compatibility with mechanical design considerations. By considering key findings and insights, we emphasize the potential of fibrin-based bioinks in innovating tissue engineering strategies. This review highlights the role of fibrin-based bioinks in advancing regenerative therapies and indicates a new era of tissue engineering applications. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Bioink Bioprinting Fibrin Mechanical properties Skin Tissue engineering Vascularization

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electrical Characteristic and Power Fluctuations of GAA Si NS CFETs by Simultaneously Considering Six Process Variation Factors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 229-238页

作者： Kola, Sekhar Reddy Li, Yiming National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan

Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of the gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field-effect-transistors (CFETs) which are formed by vertically stacking n-FET on top of p-FET. Among the six factors, NS thickness (TNS), NS width (WNS), and gate length (LG) are identified as crucial factors contributing to large variations in device characteristics. The p-FET exhibits substantial off-state current fluctuation (about 151%) due to the bottom parasitic channel leakages. Compared with the magnitudes of dynamic and short circuit powers, the static power is marginal, but it possesses the largest fluctuation (up to 148%). If we assume that each factor of PVE has the same probability distribution as the others and all are mutually independent, the statistical sum of their power fluctuations will exhibit more than 50% overestimations, compared with the results when all factors are considered simultaneously. © 2020 IEEE.

关键词： III-V semiconductors

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Advanced Resource Mapping in Coal Exploration using IoT Sensor-Based Drilling Systems with SVM Integration 1

Advanced Resource Mapping in Coal Exploration using IoT Sens...

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1st International Conference on Innovations in Communications, electrical and computer engineering, ICICEC 2024

作者： Kumar, N. Ganesh Rajalakshmi, P. Dhivya, K. Pattanaik, Balachandra Suresh, G. Srinivasan, S. Gitam School of Technology Gandhi Institute of Technology and Management Department of Computer Science and Engineering Karnataka Bengaluru India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tami Nadu Chennai India SRM Institute of Science and Technology Department of Electronics and Communication Engineering Kattankulathur Tamil Nadu Chennai India Wollega University Department of Electrical and Computer Engineering Nekemte Ethiopia Sri Indu College of Engineering and Technology Department of Electronics and Communication Engineering Hyderabad India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350376517

To improve resource mapping in coal exploration, this research introduces a new method that combines Internet of Things (IoT) sensor-based drilling devices with Support Vector Machine (SVM) algorithms. Coal exploration techniques of yesteryear often included labor-intensive, time-consuming manual sampling and analysis, which had restricted geographical coverage. The proposed approach makes use of IoT drilling equipment that is fitted with a variety of sensors to gather geological data in real-time while the drilling is underway. With the data collected by these sensors, a wealth of information may be analyzed, including lithology, density, and coal seam characteristics. It creates prediction models for resource mapping by combining this sensor data with SVM, which allows for the efficient identification and delineation of coal seams across exploration locations. For precise coal deposit location and classification, the SVM framework excels at dealing with the complicated, high-dimensional character of geological data. The proposed system can transform the way coal is explored in various geological environments. The coal mining sector stands to gain a great deal from our technique, which allows for data-driven decision-making and improves resource mapping procedures. This, in turn, leads to cost reductions, productivity increases, and environmental sustainability. © 2024 IEEE.

关键词： Lithology

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Robust System Reconfiguration in the Presence of Uncertain Loads and Renewable Generation

Robust System Reconfiguration in the Presence of Uncertain L...

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2023 IEEE Texas Power and Energy Conference, TPEC 2023

作者： Mahdavi, Meisam Schmitt, Konrad Bayne, Stephen Chamana, Manohar University of Jaén Department of Electrical Engineering Jaén Linares Spain Texas Tech University Electrical & Computer Engineering Department LubbockTX United States Texas Tech University Renewable Energy Program Lubbock United States

ISBN: (纸本)9781665490719

Although distributed generation (DG) operation in modern distribution systems reduces energy losses, DG penetration in such networks is restricted by technical and investment limitations. In order to reduce these losses more efficiently, active distribution systems should be reconfigured based on their time-varying and uncertain load and renewable generation levels. However, considering demand variability in distribution systems' reconfiguration increases the mathematical efforts, computational burden, and processing time. Besides, the reconfiguration model must be robust enough to avoid consecutive reconfigurations under small load and generation variations. Accordingly, reconfiguration strategies should be chosen so that they have enough robustness and good convergence speed regarding load and generation uncertainty and variability. Therefore, the present paper develops an effective and robust strategy for active distribution systems' reconfiguration with load and renewable generation variability and uncertainty. The model is submitted to two standard distribution systems where the results are compared with other models presented by the literature. The comparison highlights the robustness and computational time efficiency of the presented model. © 2023 IEEE.

关键词： Investments

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Load Profile Effect on Shunt Capacitor Placement in Radial Distribution Feeders 4

Load Profile Effect on Shunt Capacitor Placement in Radial D...

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4th Annual IEEE Kansas Power and Energy Conference, KPEC 2023

作者： Mahdavi, Meisam Awaafo, Augustine Schmitt, Konrad Chamana, Manohar University of Jaén Department of Electrical Engineering Jaén Linares Spain Texas Tech University Electrical and Computer Engineering Department LubbockTX United States Texas Tech University Renewable Energy Program Lubbock United States

ISBN: (纸本)9798350335408

Capacitor placement in electric power systems is an effective way to minimize energy losses, especially in distribution systems, where power losses are more than transmission ones. On the other hand, time-varying load levels affect energy losses amount in such networks. Therefore, load profile has an important role in determining the amount of power losses and the optimal place of shunt capacitors in radial feeders. However, embedding load variability in the capacitor placement problem enhances the computational burden and processing time, while its ignorance leads to inaccurate calculation of energy losses and subsequent optimal locations of capacitor banks. Hence, most of specialized studies have ignored load changes in their capacitor placement models because of computational burden and processing time increase. Accordingly, the present paper intent to evaluate the effect of consumption patterns on capacitor placement proposals in order to understand the importance of load variability consideration in reducing power losses through reactive power compensation. The analysis has been carried out using a mathematical programming language in several distribution systems. © 2023 IEEE.

关键词： Mathematical programming

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