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Novel Techniques in Microscopy, NTM 2019 - Part of Biophotonics Congress: Optics in the Life Sciences Congress 2019

作者： Guo, Min Chandris, Panagiotis Giannini, John P. Chen, Jiji Vishwasrao, Harshad D. Shroff, Hari Section on High Resolution Optical Imaging National Institute of Biomedical Imaging and Bioengineering National Institutes of Health BethesdaMD United States Biophysics Program University of Maryland College ParkMD United States Advanced Imaging and Microscopy Resource National Institutes of Health BethesdaMD United States

We combined instant structured illumination microscopy and total internal reflection fluorescence microscopy (instant TIRF-SIM), enabling rapid super-resolution imaging (down to 115±13 nm) at acquisition speeds u... 详细信息

ISBN: (纸本)9781943580545

关键词： Refractive index

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Proposal for a health information management model based on Lean thinking

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Procedia Computer Science 2021年 181卷 1097-1104页

作者： Jéssica Cristina Caretta Teixeira Filipe Andrade Bernardi Rui Pedro Charters Lopes Rijo Domingos Alves Health Intelligence Laboratory Ribeirão Preto Medical School University of São Paulo Ribeirão Preto Brazil Bioengineering Postgraduate Program University of Sao Paulo Sao Carlos Brazil School of Technology and Management Polytechnic Institute of Leiria Leiria Portugal Ribeirao Preto Medical School University of Sao Paulo Ribeirao Preto Brazil

Although assessing quality in the health field is a prominent challenge, there is unanimity among managers that it is necessary to select appropriate assessment systems and methods to assist the administration of services and provide decision-making with the least degree of uncertainty possible. Lean, also known as lean philosophy, is a management model that has been used in the area of Health. The management of data, knowledge, and health services must be carefully performed, so that quality care can be offered. at all levels of care. In this way, when implementing Lean strategies in Information Technology, it is necessary to evaluate all its processes within the institution to eliminate waste, structure functions within the applied methodology and measure improvement at all levels of the organization. Thus, the general objective of this article is that of a study that leads to a health information management model based on Lean thinking in the municipality of Ituverava. The highly heterogeneous, and sometimes ambiguous, nature of the medical language and its constant evolution, the high amount of data generated constantly by the automation of processes and the emergence of new technologies constitute the foundation for the inevitable computerization of health to promote the production and management of knowledge. Adopting Lean thinking in health may seem a challenge initially for managers and team members, but as the first results begin to appear, profound and concrete changes are visible for positive transformation for improvements in the quality of the service provided, until the culture can be learned completely in order to have the perfect care.

关键词： Lean Healthcare Health Information Systems Quality Improvement

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Author Correction: Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy

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Light, science & applications 2023年第1期12卷 93页

作者： Kyrollos Yanny Nick Antipa William Liberti Sam Dehaeck Kristina Monakhova Fanglin Linda Liu Konlin Shen Ren Ng Laura Waller UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley CA 94720 USA. kyrollosyanny@***. Department of Electrical Engineering & Computer Sciences University of California Berkeley CA 94720 USA. naantipa@***. Department of Electrical Engineering & Computer Sciences University of California Berkeley CA 94720 USA. TIPs Department Université libre de Bruxelles (ULB) 1050 Brussels Belgium. UCB/UCSF Joint Graduate Program in Bioengineering University of California Berkeley CA 94720 USA.

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Reconstruction of 3d human lymphatic vessel within tumor immune microenvironment using high-throughput platform 24

Reconstruction of 3d human lymphatic vessel within tumor imm...

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24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Kang, Habin Lee, Somin Park, Dohyun Yu, James Koh, Seung Kwon Cho, Duck Kim, Da-Hyun Kang, Kyung-Sun Jeon, Noo Li Interdisciplinary Program for Bioengineering Seoul National University Korea Republic of Department of Mechanical Engineering Seoul National University Korea Republic of Department of Health Sciences and Technology Sungkyunkwan University Korea Republic of Adult Stem Cell Research Center Research Institute for Veterinary Science Seoul National University Korea Republic of

ISBN: (纸本)9781733419017

In this study, we established a 3D in vitro model of human lymphatic vessel (LV) within tumor immune microenvironment (TIME) using an injection-molded plastic array culture platform. Our platform enabled robust and reproducible formation of self-organized LV within the TIME in vitro. Using this co-culture model, we could (1) recapitulate cancer cell type-dependent morphogenesis of LV in vitro, (2) assess the effect of anti-VEGFR3 drug depending on the existence of blood vessels or different types of cancer cells through high-content analysis, and (3) design a trans-endothelial migration assay of cytotoxic primary lymphocytes within reconstructed melanoma TIME. © 2020 CBMS-0001

关键词： Cancer cells

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High-Order Cardiomyopathy Human Heart Model and Mesh Generation

High-Order Cardiomyopathy Human Heart Model and Mesh Generat...

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2021 Computing in Cardiology, CinC 2021

作者： Mohammadi, Fariba Shontz, Suzanne M Linte, Cristian A Department of Mechanical Engineering University of Kansas LawrenceKS United States Department of Electrical Engineering and Computer Science University of Kansas LawrenceKS United States Bioengineering Program University of Kansas LawrenceKS United States Information and Telecommunication Technology Center University of Kansas LawrenceKS United States Chester F Carlson Center for Imaging Science Rochester Institute of Technology RochesterNY United States Department of Biomedical Engineering Rochester Institute of Technology RochesterNY United States

ISBN: (纸本)9781665479165

Faithful, accurate, and successful cardiac biomechanics and electrophysiological simulations require patient-specific geometric models of the heart. Since the cardiac geometry consists of highly-curved boundaries, the use of high-order meshes with curved elements would ensure that the various curves and features present in the cardiac geometry are well-captured and preserved in the corresponding mesh. Most other existing mesh generation techniques require computer-aided design files to represent the geometric boundary, which are often not available for biomedical applications. Unlike such methods, our technique takes a high-order surface mesh, generated from patient medical images, as input and generates a high-order volume mesh directly from the curved surface mesh. In this paper, we use our direct high-order curvilinear tetrahedral mesh generation method [1] to generate several second-order cardiac meshes. Our meshes include the left ventricle myocardia of a healthy heart and hearts with dilated and hypertrophic cardiomyopathy. We show that our high-order cardiac meshes do not contain inverted elements and are of sufficiently high quality for use in cardiac finite element simulations. © 2021 Creative Commons.

关键词： Heart

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Amplification of enzymatic and microbial fuel cells using organic electrochemical transistors

Device

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Device 2025年

作者： Saxena, Ravindra Zhang, Xu Cai, Rong Suggs, Olivia Bruggeman, Chase Hickey, David P. Ajo-Franklin, Caroline M. Verduzco, Rafael Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston 77005 TX United States Department of Biosciences Rice University Houston 77005 TX United States Department of Chemical Engineering and Materials Science Michigan State University East Lansing 48824 MI United States Department of Bioengineering Rice University Houston 77005 TX United States Department of Chemical and Biomolecular Engineering Rice University Houston 77005 TX United States Rice Advanced Materials Institute Rice University Houston 77005 TX United States

Organic electrochemical transistors (OECTs) are thin-film devices operated in aqueous and biological environments for sensing chemicals and biomolecules. However, most sensor configurations involve introducing the target biomolecule directly in the OECT device. This has drawbacks because it may not be possible to have an electrolyte compatible with the target biomolecule or an environment optimal for the OECT. Here, we demonstrate a general and modular approach to building electrochemical sensors by coupling OECTs electronically with either an enzymatic fuel cell (EFC) or microbial fuel cell (MFC). We demonstrate that this modular approach can amplify currents by three orders of magnitude and enhance the signal-to-noise ratio. We also show that the power generated by the fuel cell can help tune the sensor's response for different applications. This work demonstrates a simple and versatile approach for amplifying currents from MFCs and EFCs useful for the development of bioelectronic sensors. © 2025 The Authors

关键词： amplification biosensors DTI-3: Develop electro-active bacteria enzymatic fuel cells microbial fuel cells organic electrochemical transistors power

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Performance of detector modules for a second-generation RF-penetrable TOF-PET insert for simultaneous PET/MRI

Performance of detector modules for a second-generation RF-p...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Qian Dong Chen-Ming Chang Ronald D. Watkins Brian J. Lee Ilaria Sacco Craig S. Levin Stanford University Stanford CA USA Electrical Engineering Bioengineering and Physics Stanford University and Molecular Imaging Program at Stanford (MIPS) Stanford CA USA

Currently, clinical permanently-integrated PET/MRI systems are available. However, their high cost impedes the wide dissemination of PET/MR imaging. To address this, we have proposed an RF-penetrable time of flight (TOF)-PET insert to achieve simultaneous PET/MRI at a lower cost with no performance compromise; this system can be inserted into any existing MR system and is TOF-capable. This paper evaluates performance of two detector modules. The coincidence timing resolution (CTR) for all positions was in the range from 244.3 ± 0.7 to 260.5 ± 0.9 ps. The energy resolution was from 13.45 ± 0.02 % to 13.64 ± 0.01 %. The error bars for all performance parameters were less than 1%. The results demonstrate the TOF capability of the system and the performance stability to scale up to a full ring.

关键词： Image resolution Conferences Energy resolution Detectors Timing Biomedical imaging Bars

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Learning to Evolve Structural Ensembles of Unfolded and Disordered Proteins Using Experimental Solution Data

arXiv

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arXiv 2022年

作者： Zhang, Oufan Haghighatlari, Mojtaba Li, Jie Teixeira, Jõao Miguel Correia Namini, Ashley Liu, Zi Hao Forman-Kay, Julie D. Head-Gordon, Teresa Kenneth S. Pitzer Theory Center Department of Chemistry United States Departments of Bioengineering and Chemical and Biomolecular Engineering University of California BerkeleyCA United States Molecular Medicine Program Hospital for Sick Children TorontoONM5S 1A8 Canada Department of Biochemistry University of Toronto TorontoONM5G 1X8 Canada

Structural characterization of proteins with disorder requires a computational approach backed by experiment to model their diverse and dynamic structural ensembles. The selection of conformational ensembles consistent with solution experiments of disordered proteins highly depends on the initial pool of conformers, with currently available tools having issues with thorough sampling. We have developed a Generative Recurrent Neural Networks (GRNN) that is combined with a reinforcement learning (RL) step that biases the probability distributions of torsions to take advantage of experimental data types such as J-Couplings, NOEs and PREs. We show that updating the generative model parameters according to the reward feedback on the basis of the agreement between experimental data and probabilistic selection of torsions from learned distributions improves upon existing approaches that simply reweight conformers of a static structural pool for disordered proteins. Instead the RL-GRNN learns to physically change the conformations of the underlying pool of the disordered protein to those that better agree with experiment. Copyright © 2022, The Authors. All rights reserved.

关键词： Torsional stress

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Photon avalanche-driven multicolor emission: yttrium vanadate upconversion phosphors for optical thermometry, forensics, and healing light applications

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Chemical Engineering Journal 2025年 516卷

作者： Pavitra, Eluri Antony, Lintymol Park, Jin Young Hwang, Seung Kyu Lee, Jeong-Hwan Chandra, Gogineni Rajesh Basaveswara Rao, M.V. Raju, Ganji Seeta Rama Han, Young-Kyu Huh, Yun Suk NanoBio High-Tech Materials Research Center Department of Biological Sciences and Bioengineering Inha University Incheon22212 Korea Republic of 3D Convergence Center Inha University Incheon22212 Korea Republic of Department of Energy and Materials Engineering Dongguk University-Seoul Seoul04620 Korea Republic of Department of Electrical Electronics and Software Engineering Pukyong National University Yongdang Campus Busan48547 Korea Republic of Department of Materials Science and Engineering Inha University Incheon22212 Korea Republic of Program in Semiconductor Convergence Inha University Incheon22212 Korea Republic of Department of Computer Science and Engineering Vignan's Lara Institute of Technology & Science Andhra Pradesh Guntur India Department of Chemistry Krishna University Andhra Pradesh Machillipatnam521001 India

The exploration of photon upconversion has led to the development of multifunctional lanthanide-based materials, particularly through the mechanism of photon avalanche, marking a transformative advancement in material science. In this study, yttrium vanadate upconversion nanocrystalline phosphors (UCNCPs) activated by Ho3+/Er3+/Tm3+/Yb3+ ions are reported. These UCNCPs demonstrate a remarkable ability in the photon avalanche, offering highly intense and tunable emissions across the visible spectrum at room temperature under low excitation power of 980 nm laser. The average number of photons involved in the UC process at threshold pump power, highlighting the intricate interplay of cross-relaxation and energy transfer loops in avalanche mechanism. Notably, these UCNCPs have shown exceptional temperature sensing capabilities, where non-thermally coupled levels of the Ho3+ and Tm3+ ions provide higher relative sensitivity and accuracy than thermally coupled levels of Er3+ ions. The versatility of these UCNCPs is further established by their application in solid-state lighting, where they can produce vibrant red, green, blue, and warm-white light, and in security, serving as multi-level anti-counterfeiting inks that respond to 980 nm laser illumination. These developments not only pave the way for more energy-efficient lighting solutions but also offer new avenues for enhancing the security of valuable items. The temperature sensing capabilities of these phosphors add another layer of functionality, making them ideal for high-tech applications ranging from medical diagnostics to environmental monitoring. © 2025 Elsevier B.V.

关键词： Phosphors

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High-Resolution Analysis of Rapidly Frozen Biological Specimens: Capabilities and Limitations

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Microscopy and Microanalysis 2020年第S2期5卷 412-413页

作者： S.B. Andrews N.B. Pivovarova J. Hongpaisan R.D. Leapman Laboratory of Neurobiology NINDS OD National Institutes of Health Bethesda MD20892. Bioengineering & Physical Science Program OD National Institutes of Health Bethesda MD20892.

The past decade has seen major advances in the analytical capability and utility of both fixed beam and scanning beam electron microscopes. In particular, scanning transmission electron microscopy (STEM) and energy-filtering transmission microscopy (EFTEM) have benefited from the development of devices and techniques—including improved electron optics, sensitive solid-state detectors and new software for imaging and electron energy loss spectroscopy (EELS)—that optimize detection of weak spectroscopic signals arising from biological specimens while minimizing specimen damage. Here we discuss and illustrate some of these advances, especially in the context of structural imaging, detection limits and mapping techniques for the biologically important elements phosphorus and calcium. Analytical microscopy of biological tissues is absolutely dependent on cryotechniques. It is generally agreed that rapid freezing and subsequent low-temperature processing, e.g., cryosectioning or direct cryotransfer of frozen-hydrated specimens, is the most reliable way to preserve the native distribution and organization of biological structures. Equally important, however, as an adjunct to spectroscopic analysis is the use of established low-temperature, low-dose techniques for recording optimized images. By limiting beam exposure, low-dose methods greatly improve the quality of images from fragile, freeze-dried preparations. In this case, the quality and information content of, e.g., cryosections are virtually as good as conventional preparations (Fig 1).

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