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Optical Coherence Tomography for Brain Imaging and Developmental Biology

IEEE Journal of Selected Topics in Quantum Electronics 2016年第4期22卷 120-132页

作者： Men, Jing Huang, Yongyang Solanki, Jitendra Zeng, Xianxu Alex, Aneesh Jerwick, Jason Zhang, Zhan Tanzi, Rudolph E. Li, Airong Zhou, Chao Department of Electrical and Computer Engineering Center for Photonics and Nanoelectronics and Bioengineering Program Lehigh University BethlehemPA18015 United States Third Affiliated Hospital Zhengzhou University Zhengzhou450000 China Genetics and Aging Research Unit Department of Neurology Massachusetts General Hospital and Harvard Medical School BostonMA02129 United States

Optical coherence tomography (OCT) is a promising research tool for brain imaging and developmental biology. Serving as a three-dimensional optical biopsy technique, OCT provides volumetric reconstruction of brain tissues and embryonic structures with micrometer resolution and video rate imaging speed. Functional OCT enables label-free monitoring of hemodynamic and metabolic changes in the brain in vitro and in vivo in animal models. Due to its noninvasiveness nature, OCT enables longitudinal imaging of developing specimens in vivo without potential damage from surgical operation, tissue fixation and processing, and staining with exogenous contrast agents. In this paper, various OCT applications in brain imaging and developmental biology are reviewed, with a particular focus on imaging heart development. In addition, we report findings on the effects of a circadian gene ( Clock) and high-fat diet on heart development in Drosophila melanogaster. These findings contribute to our understanding of the fundamental mechanisms connecting circadian genes and obesity to heart development and cardiac diseases. © 2016 IEEE.

关键词： Optical tomography

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Fabrication and characterization of InGaAsP/Ag luminescent hyperbolic metamaterials

Fabrication and characterization of InGaAsP/Ag luminescent h...

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Microelectronics Technology and Devices (SBMicro)

作者： J. S. T. Smalley F. Vallini S. Montoya S. Shahin B. Kanté Z. Liu Y. Fainman L. Ferrari C. T. Riley E. E. Fullerton Department of Electrical & Computer Engineering University of California San Diego La Jolla USA Material Science and Engineering Program University of California San Diego La Jolla USA Department of NanoEngineering University of California San Diego La Jolla USA

We fabricate and characterize a luminescent hyperbolic metamaterial consisting of InGaAsP/Ag multilayers. For the first time, one of the metamaterial constituents is a gain media. The hyperbolic dispersion is confirme... 详细信息

关键词： Metamaterials Anisotropic magnetoresistance Optical polarization Optical device fabrication Optical pumping Optimized production technology

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Intraoperative in vivo assessment of lymph nodes with optical coherence tomography

Intraoperative in vivo assessment of lymph nodes with optica...

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Clinical and Translational Biophotonics, Translational 2016

作者： Marjanovic, Marina Nolan, Ryan M. Erickson-Bhatt, Sarah J. Adie, Steven G. Chaney, Eric J. South, Fredrick A. Monroy, Guillermo L. Shemonski, Nathan D. Shelton, Ryan L. Bower, Andrew J. Simpson, Douglas G. Ray, Partha S. Cradock, Kimberly A. Liu, Z. George Boppart, Stephen A. Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign United States Department of Bioengineering University of Illinois at Urbana-Champaign United States Department of Statistics University of Illinois at Urbana-Champaign United States Carle Foundation Hospital UrbanaIL United States Department of Surgery University of Illinois College of Medicine at Urbana-Champaign and Carle Cancer Center UrbanaIL United States Department of Internal Medicine University of Illinois at Urbana-Champaign United States

Techniques have been developed to localize sentinel lymph nodes during cancer surgery and for post-operative histology. Intraoperative OCT, however, uniquely offers microscopic label-free in vivo assessment of lymph n... 详细信息

ISBN: (纸本)9781943580101

关键词： Body fluids

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An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition

An automatic calibration framework applied on a metaheuristi...

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International Joint Conference on Neural Networks

作者： Vitor N. Coelho Igor M. Coelho Ivan R. Meneghini Marcone J. F. Souza Frederico G. Guimaraes Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Ant?nio Carlos 6627 31270-901 Belo Horizonte Brazil Department of Computer Science State University of Rio de Janeiro Brazil Department of Computer Science Universidade Federal de Ouro Preto MG Brazil Departament of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

ISBN: (纸本)9781509006212

The challenging problem of forecasting a given time series as accurately as possible is reality in different areas of expertise. The requirement of achieving reliable forecasts, for assisting the new generation of soft sensors, requests the development of novel smart mechanisms to be integrated into the available forecasting models. This current paper improves the previous work of Coelho et al. [1], [2], introduced in the 2014 WCCI, which introduced a Hybrid Self-adaptive Forecasting Model (HFM), calibrated using an evolutionary metaheuristic. Here, an expert input selection assisted by the use of Neighborhood Structures is used for learning the dataset provide in the CIF 2016 forecasting competition. Two different metaheuristic algorithms are used for training the HFM, computational experiments are conducted for optimizing both models. By selecting the maximum lag to be used by our model and, consequently, defining a rate of training cycles, we calibrate the HFM in order to minimize Symmetric Mean Absolute Percentage Errors. Blind forecasts generated by the model will be submit to the competition.

关键词： Forecasting Time series analysis Predictive models Training Computational modeling Electronic mail Prediction algorithms

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A Smart Pool Search Matheuristic for Solving a Multi-objective Microgrid Storage Planning Problem

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Energy Procedia 2016年 103卷 292-297页

作者： Vitor N. Coelho Igor M. Coelho Bruno N. Coelho Marcone J.F. Souza Haroldo Gambini N. Mladenović Frederico G. Guimarães Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Department of Computer Science State University of Rio de Janeiro Rio de Janeiro Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto Brazil Mathematical Institute Serbian Academy of Science and Arts Serbia LAMIH Université de Valenciennes et du Hainaut Cambrésis Valenciennes France Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

In this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is considered. The problem involves several PEVs and a microgrid community, composed of small houses, residential areas, and different Renewable Energy Resources. Three different objectives are considered: microgrid total costs; usage of PEV batteries and maximum grid peak load. In order to find sets of non-dominated solutions, a matheuristic black box solves several Mixed Integer Linear programming (MILP) subproblems. We improve a previously developed MILP model and design a new multi-objective matheuristic including new problem initialization mechanisms.

关键词： Microgrids Power dispatching Energy storage management Matheuristic Mixed-Integer Linear programming Multi-objetive optimization

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Edge pinning and transformation of defect lines induced by faceted colloidal rings in nematic liquid crystals

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Physical Review E 2016年第6期93卷 062704-062704页

作者： Bohdan Senyuk Qingkun Liu Ye Yuan Ivan I. Smalyukh Department of Physics University of Colorado Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering University of Colorado Boulder Colorado 80309 USA Soft Materials Research Center and Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado Boulder Colorado 80309 USA

Nematic colloids exhibit a large diversity of topological defects and structures induced by colloidal particles in the orientationally ordered liquid crystal host fluids. These defects and field configurations define elastic interactions and medium-mediated self-assembly, as well as serve as model systems in exploiting the richness of interactions between topologies and geometries of colloidal surfaces, nematic fields, and topological singularities induced by particles in the nematic bulk and at nematic-colloidal interfaces. Here we demonstrate formation of quarter-strength surface-pinned disclinations, as well as a large variety of director field configurations with splitting and reconnections of singular defect lines, prompted by colloidal particles with sharp edges and size large enough to define strong boundary conditions. Using examples of faceted ring-shaped particles of genus g=1, we explore transformation of defect lines as they migrate between locations in the bulk of the nematic host to edge-pinned locations at the surfaces of particles and vice versa, showing that this behavior is compliant with topological constraints defined by mathematical theorems. We discuss how transformation of bulk and surface defect lines induced by faceted colloids can enrich the diversity of elasticity-mediated colloidal interactions and how these findings may impinge on prospects of their controlled reconfigurable self-assembly in nematic hosts.

关键词： Defects Nematic order Nematic liquid crystals

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Reversal of helicoidal twist handedness near point defects of confined chiral liquid crystals

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Physical Review E 2016年第5期93卷 052702-052702页

作者： Paul J. Ackerman Ivan I. Smalyukh Department of Physics University of Colorado Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering University of Colorado Boulder Colorado 80309 USA Soft Materials Research Center and Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado Boulder Colorado 80309 USA

Handedness of the director twist in cholesteric liquid crystals is commonly assumed to be the same throughout the medium, determined solely by the chirality of constituent molecules or chiral additives, albeit distortions of the ground-state helicoidal configuration often arise due to the effects of confinement and external fields. We directly probe the twist directionality of liquid crystal director structures through experimental three-dimensional imaging and numerical minimization of the elastic free energy and show that spatially localized regions of handedness opposite to that of the chiral liquid crystal ground state can arise in the proximity of twisted-soliton-bound topological point defects. In chiral nematic liquid crystal confined to a film that has a thickness less than the cholesteric pitch and perpendicular surface boundary conditions, twisted solitonic structures embedded in a uniform unwound far-field background with chirality-matched handedness locally relieve confinement-imposed frustration and tend to be accompanied by point defects and smaller geometry-required, energetically costly regions of opposite twist handedness. We also describe a spatially localized structure, dubbed a “twistion,” in which a twisted solitonic three-dimensional director configuration is accompanied by four point defects. We discuss how our findings may impinge on the stability of localized particlelike director field configurations in chiral and nonchiral liquid crystals.

关键词： Chirality Defects Liquid crystals

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Ultrafast photonic PCR

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Light(science & Applications) 2015年第1期4卷 267-273页

作者： Jun Ho Son Byungrae Cho SoonGweon Hong Sang Hun Lee Ori Hoxha Amanda J Haack Luke P Lee Department of Bioengineering University of CaliforniaBerkeleyCA 94720USA Berkeley Sensor and Actuator Center University of CaliforniaBerkeleyCA 94720USA Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720USA Biophysics Graduate Program University of CaliforniaBerkeleyCA 94720USA

Nucleic acid amplification and quantification via polymerase chain reaction(PCR)is one of the most sensitive and powerful tools for clinical laboratories,precision medicine,personalized medicine,agricultural science,forensic science and environmental *** multiplex PCR,characterized by low power consumption,compact size and simple operation,is ideal for timely diagnosis at the point-of-care(POC).Although several fast/ultrafast PCR methods have been proposed,the use of a simple and robust PCR thermal cycler remains challenging for POC ***,we present an ultrafast photonic PCR method using plasmonic photothermal light-to-heat conversion via photon–electron–phonon *** demonstrate an efficient photonic heat converter using a thin gold(Au)film due to its plasmon-assisted high optical absorption(approximately 65%at 450 nm,the peak wavelength of heat source light-emitting diodes(LEDs)).The plasmon-excited Au film is capable of rapidly heating the surrounding solution to over 150℃ within 3 *** this method,ultrafast thermal cycling(30 cycles;heating and cooling rate of 12.7960.93℃ s^(-1) and 6.660.29℃ s^(-1),respectively)from 55℃(temperature of annealing)to 95℃(temperature of denaturation)is accomplished within 5 *** photonic PCR thermal cycles,we demonstrate here successful nucleic acid(λ-DNA)*** simple,robust and low cost approach to ultrafast PCR using an efficient photonic-based heating procedure could be generally integrated into a variety of devices or procedures,including on-chip thermal lysis and heating for isothermal amplifications.

关键词： genomics light-emitting diodes(LEDs) molecular diagnostics personalized medicine plasmonics point-of-care(POC)diagnostics polymerase chain reaction(PCR)

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Parallel Solution of Diagonally Dominant Banded Triangular Toeplitz Systems Using Taylor Polynomials

Parallel Solution of Diagonally Dominant Banded Triangular T...

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IEEE International Conference on High Performance Computing and Communications

作者： Michael Kapralos Aron Wolinetz Brian J. Murphy Department of Electrical and Computer Engineering University of Connecticut Storrs CT 06269 The Graduate Center of the City University of New York Ph.D. Program in Computer Science NY NY 10016 Lehman College of the City University of New York Bronx NY 10468

ISBN: (纸本)9781509042982

We present a new numerical and inherently parallel algorithm for solving banded (strictly) diagonally dominant triangular and banded Toeplitz (BDDTT) systems of linear equations. A Taylor polynomial, derived from the matrix analog of the Taylor Series for evaluating (1-x) ~(-1)where |χ| < 1, is applied, in conjunction with other techniques, to compute an approximate solution to a BDDTT-type system. This method requires O(n log_2n) arithmetic operations (ops) and O(log_2n) parallel steps (steps). Two FFTs and an IFFT of order 2n are the main contributors to the workload. This matches the FFT count for a triangular Toeplitz-matrix-vector multiplication. Clearly then, our method improves on the many algebraic FFT based processes that first determine the triangular Toeplitz matrix that is the inverse of a BDDTT matrix in order to then solve the associated BDDTT system.

关键词： Banded Triangular Toeplitz Diagonally Dominant Linear System FFT

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