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arXiv 2024年

作者： Avachat, Ashish V. Mahmoud, Kholod H. Leja, Anthony G. Xu, Jiajie J. Anastasio, Mark A. Sivaguru, Mayandi Di Fulvio, Angela Department of Mechanical Engineering and Materials Science University of Pittsburgh United States Department of Bioengineering University of Illinois Urbana-Champaign United States Department of Nuclear Plasma and Radiological Engineering University of Illinois Urbana-Champaign United States Department of Clinical Medicine University of Illinois Urbana-Champaign United States Animal Care Program University of Illinois Urbana-Champaign United States Cytometry and Microscopy to Omics Facility Roy J Carver Biotechnology Center University of Illinois Urbana-Champaign United States

The objective of this work is to showcase the ortho-positronium lifetime as a probe for soft-tissue characterization. We employed positron annihilation lifetime spectroscopy to experimentally measure the three components of the positron annihilation lifetime-para-positronium (p-Ps), positron, and ortho-positronium (o-Ps)-for three types of porcine, non-fixated soft tissues ex vivo: adipose, hepatic, and muscle. Then, we benchmarked our measurements with X-ray phase-contrast imaging, which is the current state-of-the-art for soft-tissue analysis. We found that the o-Ps lifetime in adipose tissues (2.54 }0.12 ns) was approximately 20% longer than in hepatic (2.04 }0.09 ns) and muscle (2.03 }0.12 ns) tissues. In addition, the separation between the measurements for adipose tissue and the other tissues was better from o-Ps lifetime measurement than from X-ray phase-contrast imaging. This experimental study proved that the o-Ps lifetime is a viable non-invasive probe for characterizing and classifying the different soft tissues. Specifically, o-Ps lifetime as a soft-tissue characterization probe had a strong sensitivity to the lipid content that can be potentially implemented in commercial positron emission tomography scanners that feature list-mode data acquisition. © 2024, CC BY-NC-ND.

关键词： Probes

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Effect of Gd3+/Nd3+- dual doped borate glasses on the physical and spectroscopic properties for the NIR emission at 1.069 µm

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Optik 2023年第1期290卷

作者： Manyum, P. Rittisut, W. Mool-am-kha, P. Wantana, N. Ruangtaweep, Y. Rujirawat, S. Yimnirun, R. Kidkhunthod, P. Prasatkhetragarn, A. Kothan, S. Kim, H.J. Minh, P.H. Kaewkhao, J. School of Physics and Center of Excellence in High Energy Physics and Astrophysics Suranaree University of Technology Nakhon Ratchasima30000 Thailand Construction Materials Group Engineering Materials Division Department of Science Service Ministry of Higher Education Science Research and Innovation Bangkok10400 Thailand Physics Program Faculty of Science and Technology Nakhon Pathom Rajabhat University Nakhon Pathom 73000 Thailand Center of Excellence in Glass Technology and Materials Science Nakhon Pathom Rajabhat University Nakhon Pathom 73000 Thailand 111 University Avenue Muang Nakhon Ratchasima30000 Thailand Rayong Wangchan21210 Thailand Rayong Wangchan21210 Thailand Applied Science Program School of Science University of Phayao Phayao56000 Thailand Center of Radiation Research and Medical Imaging Department of Radiologic Technology Faculty of Associated Medical Sciences Chiang Mai University Chiang Mai50200 Thailand Department of Physics Kyungpook National University Daegu41566 Korea Republic of Institute of Physics Vietnam Academy of Science and Technology 10 Dao Tan Ba Dinh Hanoi Viet Nam

Near-infrared luminescence properties of dual doped Gd3+/Nd3+-incorporated glasses were manufactured using the melt-quenching technique and characterized by several techniques. The modification in glass structure may be seen in the differences in density, molar volume, and refractive index that occur when the amount of lanthanide oxide in the glass increases. The spectroscopic properties of Nd3+ in these glasses are quite well understood, and the observed optical characteristics may be used to process and eventually determine laser properties. According to the results of XANES, the Nd oxidation state remains the predominant peak for Nd3+ in all of the samples. The transition from 4I9/2 to 4G5/2 +2G7/2 is important for the strongest band in the absorption spectra, which can be seen at 584 nm. The luminescence spectra show peaks caused by 4F3/2→4IJ (J=11/2, 13/2) at three excitation wavelengths of 526, 574 and 805 nm. After the processing, we created glass samples for the study of photoluminescence with various amounts of Nd2O3 incorporated into the best host, 25Li2O-5Al2O3-2.5Gd2O3-(67.5-X)B2O3-XNd2O3. Based on luminescence intensity, it is determined that 1.0 mol% of Nd2O3 is the concentration quenching in the studied glasses. The 4F3/2 →4I11/2 transition at 1069 nm, excited by 526, 578 and 803 nm, has the highest emission intensity. The combined findings of the glasses demonstrate that near-infrared luminescence may be successfully used with them. All of the analysis shows that the dual doped Gd3+/Nd3+ borate glass would be a potential solid-state laser candidate. © 2023 Elsevier GmbH

关键词： Neodymium compounds

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Uncovering polar vortex structures by inversion of multiple scattering with a stacked Bloch wave model

arXiv

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arXiv 2022年

作者： Zeltmann, Steven E. Hsu, Shang-Lin Brown, Hamish G. Susarla, Sandhya Ramesh, Ramamoorthy Minor, Andrew M. Ophus, Colin Department of Materials Science and Engineering University of California Berkeley BerkeleyCA United States Materials Science Division Lawrence Berkeley National Laboratory BerkeleyCA United States Ian Holmes Imaging Centre Bio21 Molecular Science Biotechnology Institute University of Melbourne Victoria Australia School for Engineering of Matter Transport and Energy Arizona State University TempeAZ United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA United States

Nanobeam electron diffraction can probe local structural properties of complex crystalline materials including phase, orientation, tilt, strain, and polarization. Ideally, each diffraction pattern from a projected area of a few unit cells would produce a clear Bragg diffraction pattern, where the reciprocal lattice vectors can be measured from the spacing of the diffracted spots, and the spot intensities are equal to the square of the structure factor amplitudes. However, many samples are too thick for this simple interpretation of their diffraction patterns, as multiple scattering of the electron beam can produce a highly nonlinear relationship between the spot intensities and the underlying structure. Here, we develop a stacked Bloch wave method to model the diffracted intensities from thick samples with structure that varies along the electron beam. Our method reduces the large parameter space of electron scattering to just a few structural variables per probe position, making it fast enough to apply to very large fields of view. We apply our method to SrTiO3/PbTiO3/SrTiO3 multilayer samples, and successfully disentangle specimen tilt from the mean polarization of the PbTiO3 layers. We elucidate the structure of complex vortex topologies in the PbTiO3 layers, demonstrating the promise of our method to extract material properties from thick samples. Copyright © 2022, The Authors. All rights reserved.

关键词： Electron diffraction

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Grain Selection Growth of Soft Metal in Electrochemical Processes

arXiv

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arXiv 2024年

作者： Zhang, Minghao Tantratian, Karnpiwat Ham, So-Yeon Wang, Zhuo Chouchane, Mehdi Shimizu, Ryosuke Bai, Shuang Yang, Hedi Liu, Zhao Li, Letian Avishai, Amir Chen, Lei Meng, Ying Shirley Pritzker School of Molecular Engineering The University of Chicago ChicagoIL60637 United States Department of Metallurgical Engineering Chulalongkorn University Bangkok10330 Thailand Materials Science and Engineering Program University of California La Jolla San DiegoCA92093 United States Department of Mechanical Engineering University of Michigan-Dearborn DearbornMI48128 United States Department of NanoEngineering University of California La Jolla San DiegoCA92093 United States Materials and Structural Analysis Thermo Fisher Scientific HillsboroOR97124 United States The Core Center of Excellence in Nano Imaging University of Southern California Los AngelesCA90089 United States

Soft metals like lithium and sodium play a critical role in battery technology owing to their high energy density. Texture formation by grain selection growth of soft metals during electrochemical processes is a crucial factor affecting power and safety. Developing a framework to understand and control grain growth is a multifaceted challenge. Here, a general thermodynamic theory and phase-field model are formulated to study grain selection growth of soft metals. Our study focuses on the interplay between surface energy and atomic mobility-related intrinsic strain energy in grain selection growth. Differences in grain selection growth arise from the anisotropy in surface energy and diffusion barrier of soft metal atoms. Our findings highlight the kinetic limitations of solid-state Li metal batteries, which originate from load stress-induced surface energy anisotropy. These insights lead to the development of an amorphous LixSi1-x (0.50 Copyright © 2024, The Authors. All rights reserved.

关键词： Solid-State Batteries

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A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

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NATURE NEUROscience 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

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imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

arXiv

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arXiv 2023年

作者： Schwartz, Jonathan Di, Zichao Wendy Jiang, Yi Manassa, Jason Pietryga, Jacob Qian, Yiwen Cho, Min Gee Rowell, Jonathan L. Zheng, Huihuo Robinson, Richard D. Gu, Junsi Kirilin, Alexey Rozeveld, Steve Ercius, Peter Fessler, Jeffrey A. Xu, Ting Scott, Mary Hovden, Robert Department of Materials Science and Engineering University of Michigan Ann ArborMI United States Mathematics and Computer Science Division Argonne National Laboratory LemontIL United States Advanced Photon Source Facility Argonne National Laboratory LemontIL United States Department of Material Science and Engineering Northwestern University EvanstonIL United States Department of Materials Science and Engineering University of California at Berkeley BerkeleyCA United States Department of Chemistry and Chemical Biology Cornell University IthacaNY United States Argonne Leadership Computing Facility Argonne National Laboratory LemontIL United States Department of Material Science and Engineering Cornell University IthacaNY United States Kavli Institute at Cornell for Nanoscale Science Cornell University IthacaNY United States Dow Chemical Co. MidlandMI United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI United States Materials Science Division Lawrence Berkeley National Laboratory BerkeleyCA United States Applied Physics Program University of Michigan Ann ArborMI United States

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required for 3D chemical imaging are too rare, requiring high beam exposure that destroys the specimen before an experiment completes. Even larger doses are required to achieve high resolution. Thus, chemical mapping in 3D has been unachievable except at lower resolution with the most radiation-hard materials. Here, high-resolution 3D chemical imaging is achieved near or below one nanometer resolution in a Au-Fe3O4 metamaterial, Co3O4 - Mn3O4 core-shell nanocrystals, and ZnS-Cu0.64S0.36 nanomaterial using fused multi-modal electron tomography. Multi-modal data fusion enables high-resolution chemical tomography often with 99% less dose by linking information encoded within both elastic (HAADF) and inelastic (EDX / EELS) signals. Now sub-nanometer 3D resolution of chemistry is measurable for a broad class of geometrically and compositionally complex materials. © 2023, CC BY.

关键词： Zinc sulfide

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Iterative Phase Retrieval Algorithms for Scanning Transmission Electron microscopy

arXiv

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arXiv 2023年

作者： Varnavides, Georgios Ribet, Stephanie M. Zeltmann, Stephen E. Yu, Yue Savitzky, Benjamin H. Byrne, Dana O. Allen, Frances I. Dravid, Vinayak P. Scott, Mary C. Ophus, Colin Miller Institute for Basic Research in Science University of California BerkeleyCA94720 United States National Center for Electron Microscopy Molecular Foundry Berkeley Lab BerkeleyCA94720 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States International Institute of Nanotechnology Northwestern University EvanstonIL60208 United States Department of Materials Science and Engineering University of California Berkeley BerkeleyCA94720 United States Platform for the Accelerated Realization Analysis and Discovery of Interface Materials Cornell University IthacaNY14853 United States School of Applied and Engineering Physics Cornell University IthacaNY14853 United States Chan Zuckerberg Institute for Advanced Biological Imaging Redwood CityCA94063 United States Department of Chemistry University of California Berkeley BerkeleyCA94720 United States California Institute for Quantitative Biosciences University of CaliforniaBerkeley BerkeleyCA94720 United States The NUANCE Center Northwestern University EvanstonIL30208 United States

Scanning transmission electron microscopy (STEM) has been extensively used for imaging complex materials down to atomic resolution. The most commonly employed STEM modality, annular dark-field imaging, produces easily-interpretable contrast, but is dose-inefficient and produces little to no discernible contrast for light elements and weakly-scattering samples. An alternative is to use STEM phase retrieval imaging, enabled by high speed detectors able to record full images of a diffracted STEM probe over a grid of scan positions. Phase retrieval imaging in STEM is highly dose-efficient, enabling the measurement of the structure of beam-sensitive materials such as biological samples. Here, we comprehensively describe the theoretical background, algorithmic implementation details, and perform both simulated and experimental tests for three iterative phase retrieval STEM methods: focused-probe differential phase contrast, defocused-probe parallax imaging, and a generalized ptychographic gradient descent method implemented in two and three dimensions. We discuss the strengths and weaknesses of each of these approaches by comparing the transfer of information using analytical expressions and numerical results for a white-noise model. This presentation of STEM phase retrieval methods aims to make these methods more approachable, reproducible, and more readily adoptable for many classes of samples. Copyright © 2023, The Authors. All rights reserved.

关键词： Probes

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Ranking Magnetic Colloid Performance for Magnetic Particle imaging and Magnetic Particle Hyperthermia

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Advanced Functional materials 2025年第2期35卷 2412321页

作者： Carlton, Hayden Salimi, Marzieh Arepally, Nageshwar Bentolila, Gabriela Sharma, Anirudh Bibic, Adnan Newgren, Matt Goodwill, Patrick Attaluri, Anilchandra Korangath, Preethi Bulte, Jeff W.M. Ivkov, Robert Department of Radiation Oncology and Molecular Radiation Sciences the Johns Hopkins University School of Medicine BaltimoreMD21231 United States Russell H. Morgan Department of Radiology and Radiological Science Division of MR Research the Johns Hopkins University School of Medicine BaltimoreMD21205 United States Cellular Imaging Section and Vascular Biology Program Institute for Cell Engineering the Johns Hopkins University School of Medicine BaltimoreMD21205 United States Department of Mechanical Engineering School of Science Engineering and Technology The Pennsylvania State University – Harrisburg HarrisburgPA17057 United States F.M. Kirby Research Center for Functional Brain Imaging Kennedy Krieger Inc. BaltimoreMD21205 United States Magnetic Insight Inc. AlamedaCA94502 United States Department of Biomedical Engineering the Johns Hopkins University School of Medicine BaltimoreMD21205 United States Department of Chemical & Biomolecular Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Oncology Sydney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine BaltimoreMD21287 United States Department of Mechanical Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States Department of Materials Science and Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States

Magnetic particle imaging (MPI) is an emerging modality that can address longstanding technological challenges encountered with magnetic particle hyperthermia (MPH) cancer therapy. MPI is a tracer technology compatible with MPH for which magnetic nanoparticles (MNPs) provide signal for MPI and heat for MPH. Identifying whether a specific MNP formulation is suitable for both modalities is essential for clinical implementation. Current models predict that functional requirements of each modality impose conflicting demands on nanoparticle magnetic properties. This objective here is to develop a measurement and ranking scheme based on end-use performance to streamline evaluation of candidate MNP formulations. The measured MPI point-spread function (PSF) and specific loss power (SLP) is combined to generate a single numerical value for comparison on a relative ranking scale, or figure of merit (FoM). 12 aqueous iron-containing formulations are evaluated, including FDA-approved (parenteral) iron-containing colloids. MNPs with high (Synomag-D70: 123.4), medium (Synomag-D50: 63.2), and low (NanoXact: 0.147) FoM values are selected for in vivo validation of the selection scheme in subcutaneous 4T1 tumors. Results demonstrate that the proposed ranking accurately assessed the relative performance of MNPs for MPI and MPH. Data demonstrated that image quality and tumor temperature rise increased with FoM ranking, validating predictions. It isshown that the MPI signal correlated with MNP concentration in tissue. Computational heat transfer models anchored on tumor MPI data harmonized with experimental results to within an average of 2 °C when MNP content estimated from MPI data is included. Computational studies emphasized the importance of post-injection MNP quantitation and MPI spatial resolution. © 2024 The Author(s). Advanced Functional materials published by Wiley-VCH GmbH.

关键词： Hyperthermia therapy

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White Paper on Enabling Global Image Data Sharing in the Life sciences

arXiv

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arXiv 2024年

作者： Bajcsy, Peter Bhattiprolu, Sreenivas Börner, Katy Cimini, Beth A. Collinson, Lucy Ellenberg, Jan Fiolka, Reto Giger, Maryellen Goscinski, Wojtek Hartley, Matthew Hotaling, Nathan Horwitz, Rick Jug, Florian Kreshuk, Anna Lundberg, Emma Mathur, Aastha Narayan, Kedar Onami, Shuichi Plant, Anne L. Prior, Fred Swedlow, Jason Taylor, Adam Keppler, Antje National Institute of Standards and Technology GaithersburgMD20899 United States ZEISS Microscopy Customer Center DublinCA94568 United States Intelligent Systems Engineering Indiana University BloomingtonIN47408 United States Imaging Platform Broad Institute CambridgeMA United States Electron Microscopy Science Technology Platform Francis Crick Institute 1 Midland Road LondonNW1 1AT United Kingdom European Molecular Biology Laboratory Heidelberg Germany Lyda Hill Department of Bioinformatics UT Southwestern Medical Center DallasTX United States Department of Radiology and Committee on Medical Physics University of Chicago ChicagoIL United States National Imaging Facility Brisbane Australia European Molecular Biology Laboratory European Bioinformatics Institute Hinxton Cambridge United Kingdom National Center for Advancing Translational Science National Institutes of Health Rockville United States Allen Institute for Cell Science Seattle United States Fondazione Human Technopole Milan Italy Stanford University California US and SciLifeLab KTH Royal Institute of Technology Stockholm Sweden Center for Molecular Microscopy Center for Cancer Research National Cancer Institute National Institutes of Health BethesdaMD20892 United States Cancer Research Technology Program Frederick National Laboratory for Cancer Research FrederickMD21702 United States RIKEN Center for Biosystems Dynamics Research Kobe Japan Department of Biomedical Informatics Department of Radiology University of Arkansas for Medical Sciences Little RockAR72205 United States Divisions of Computational Biology and Molecular Cell and Developmental Biology University of Dundee United Kingdom Sage Bionetworks SeattleWA United States

Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we take a first step at presenting some of the most common use cases as well as critical/emerging use cases of (including the use of artificial intelligence for) biological and medical image data, which would benefit tremendously from better frameworks for sharing (including technical, resourcing, legal, and ethical aspects). In the second half of this paper, we paint an ‘ideal world scenario’ for how global image data sharing could work and benefit all life sciences and beyond. As this is still a long way off, we conclude by suggesting several concrete measures directed toward our institutions, existing imaging communities and data initiatives, and national funders, as well as publishers. Our vision is that within the next ten years, most researchers in the world will be able to make their datasets openly available and use quality image data of interest to them for their research and benefit. This paper is published in parallel with a companion White Paper entitled "Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data", which addresses challenges and opportunities related to producing well-documented and high-quality image data that is ready to be shared. The driving goal is to address remaining challenges and democratize access to everyday practices and tools for a spectrum of biomedical researchers, regardless of their expertise, access to resources, and geographical location. © 2024, CC BY-NC-SA.

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Giant Second-Order Nonlinearity and Anisotropy of Large-Sized Few-Layer SnS with Ferroelectric Stacking

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Advanced Optical materials 2024年第19期12卷

作者： Moqbel, Redhwan Nanae, Ryo Kitamura, Satsuki Lee, Ming-Hao Lan, Yann-Wen Lee, Chi-Cheng Nagashio, Kosuke Lin, Kung-Hsuan Department of Physics National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei106319 Taiwan Institute of Physics Academia Sinica No. 128 Sec. 2 Academia Rd. Nangang Dist. Taipei115201 Taiwan Nano-Science and Technology Program Taiwan International Graduate Program Academia Sinica No. 128 Sec. 2 Academia Rd. Nangang Dist. Taipei115201 Taiwan Department of Materials Engineering The University of Tokyo 7-3-1 Hongo Tokyo Bunkyo113-8656 Japan Center for Condensed Matter Sciences National Taiwan University Taipei10617 Taiwan The Key Consortium of Electron Microscopy National Taiwan University Taipei10617 Taiwan Department of Physics National Taiwan Normal University Taipei11677 Taiwan Department of Physics Tamkang University New Taipei Tamsui251301 Taiwan

The giant second-order nonlinearity of SnS with ferroelectric stacking is reported. Based on theoretical calculations, the susceptibility of second harmonic generation (SHG) from SnS with ferroelectric stacking is up to 1354 pm V−1, which is three orders of magnitude higher than the values of traditional nonlinear crystals such as BBO and KTP. The SHG from ferroelectric SnS few layers is experimentally measured and its intensity is found to be 131 times larger than that of a MoS2 monolayer under the same experimental conditions, with a photon energy of 1.55 eV. The SHG susceptibility is determined to be on the order of 100 pm V−1. Numerous SnS flakes are systematically investigated using polarization-resolved SHG. Micrometer-sized flakes with a single domain are found, and their SHG anisotropic patterns fit well with the theoretical calculations derived from first-principles methods. The variation in SHG anisotropic patterns, attributed to SHG interference from multiple domains, is investigated both theoretically and experimentally. Additionally, the impact of stacking disorder on the SHG anisotropic pattern is explored. It is demonstrated that polarization-resolved SHG microscopy is a valuable tool for identifying domains in SnS flakes and examining stacking disorder. © 2024 Wiley-VCH GmbH.

关键词： Harmonic generation

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