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Enhancing 3D Reconstruction Accuracy of FIB Tomography Data Using Multi‑voltage Images and Multimodal Machine Learning

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Nanomanufacturing and Metrology 2024年第1期7卷 48-60页

作者： Trushal Sardhara Alexander Shkurmanov Yong Li lukas riedel Shan Shi Christian J.Cyron Roland C.Aydin Martin Ritter Institute for Continuum and Material Mechanics Hamburg University of TechnologyHamburgGermany Electron Microscopy Unit Hamburg University of TechnologyHamburgGermany Institute of Materials Physics and Technology Hamburg University of TechnologyHamburgGermany Institute of Materials Mechanics Helmholtz-Zentrum HereonGeesthachtGermany Research Group of Integrated Metallic Nanomaterials Systems Hamburg University of TechnologyHamburgGermany Institute of Material Systems Modeling Helmholtz-Zentrum HereonGeesthachtGermany

FIB-SEM tomography is a powerful technique that integrates a focused ion beam(FIB)and a scanning electron microscope(SEM)to capture high-resolution imaging data of nanostructures.This approach involves collecting in-plane SEM imagesand using FIB to remove material layers for imaging subsequent planes,thereby producing image stacks.However,theseimage stacks in FIB-SEM tomography are subject to the shine-through effect,which makes structures visible from theposterior regions of the current plane.This artifact introduces an ambiguity between image intensity and structures in thecurrent plane,making conventional segmentation methods such as thresholding or the k-means algorithm insufficient.Inthis study,we propose a multimodal machine learning approach that combines intensity information obtained at differentelectron beam accelerating voltages to improve the three-dimensional(3D)reconstruction of nanostructures.By treatingthe increased shine-through effect at higher accelerating voltages as a form of additional information,the proposed methodsignificantly improves segmentation accuracy and leads to more precise 3D reconstructions for real FIB tomography data.

关键词： Multimodal machine learning Multi-voltage images FIB-SEM Overdeterministic systems 3D reconstruction FIB tomography

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No association between Parkinson disease and autoantibodies against NMDA-type glutamate receptors

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Translational Neurodegeneration 2019年第1期8卷 127-133页

作者： Franziska Hopfner Stefanie HMüller Dagmar Steppat Joanna Miller Nele Schmidt Klaus-Peter Wandinger Frank Leypoldt Daniela Berg Andre Franke Wolfgang Lieb lukas Tittmann Monika Balzer-Geldsetzer Simon Baudrexel Richard Dodel Ruediger Hilker-Roggendorf Elke Kalbe Jan Kassubek Thomas Klockgether Inga Liepelt-Scarfone Brit Mollenhauer Petra Neuser Kathrin Reetz Oliver riedel Claudia Schulte Jörg BSchulz Annika Spottke Alexander Storch Claudia Trenkwalder Hans-Ulrich Wittchen Karsten Witt Ullrich Wüllner Günther Deuschl Gregor Kuhlenbäumer Department of Neurology University Hospital Schleswig HolsteinArnold-Heller Str.324105 KielGermany Center of Blood Transfusion University Hospital Schleswig HolsteinKiel&LübeckGermany Department of Clinical Chemistry University Hospital Schleswig-HolsteinKielGermany Institute of Clinical Molecular Biology University Hospital Schleswig-HolsteinKielGermany Institute of Epidemiology University Hospital Schleswig-HolsteinKielGermany Chair of Geriatric Medicine University Hospital EssenEssenGermany Department of Neurology Philipps-University MarburgMarburgGermany Department of Neurology Goethe UniversityFrankfurt/MainGermany Brain Imaging Center Goethe UniversityFrankfurt/MainGermany Department of Medical Psychology|Neuropsychology and Gender Studies&Center for Neuropsychological Diagnostics and Intervention(CeNDI) University Hospital CologneCologneGermany Psychological Gerontology Institute of GerontologyUniversity of VechtaVechtaGermany Department of Neurology University of UlmUlmGermany Department of Neurology University of Bonnand German Center for Neurodegenerative Diseases(DZNE)BonnGermany Center for Neurology Hertie Institute for Clinical Brain ResearchDepartment of Neurodegenerative DiseasesUniversity of TübingenTübingenGermany DZNE German Center for Neurodegenerative DiseasesTübingenGermany Paracelsus-Elena-Klinik KasselGermany Institute of Neuropathology and Department of Neurosurgery University Medical Center GöttingenGöttingenGermany Coordinating Centre for Clinical Trials Philipps-UniversityMarburgGermany Department of Neurology RWTH Aachen UniversityAachenGermany JARA-BRAIN Institute of Molecular Neuroscience and Neuroimaging Forschungszentrum Jülich GmbH and RWTH Aachen UniversityAachenGermany Leibniz Institute for Prevention Research and Epidemiology-BIPS Achterstrasse 3028359 BremenGermany Department of Neurology Technische Universität Dresden01307 DresdenGermany German Center for Neurodegenerative Diseases(DZNE) Research Site Rostock18147 RostockGerma

Background:IgG-class autoantibodies to N-Methyl-D-Aspartate(NMDA)-type glutamate receptors define a novel entity of autoimmune encephalitis.Studies examining the prevalence of NMDA IgA/IgM antibodies in patients with Parkinson disease with/without dementia produced conflicting results.We measured NMDA antibodies in a large,well phenotyped sample of Parkinson patients without and with cognitive impairment(n=296)and controls(n=295)free of neuropsychiatric disease.Detailed phenotyping and large numbers allowed statistically meaningful correlation of antibody status with diagnostic subgroups as well as quantitative indicators of disease severity and cognitive impairment.Methods:NMDA antibodies were analysed in the serum of patients and controls using well established validated assays.We used anti-NMDA antibody positivity as the main independent variable and correlated it with disease status and phenotypic characteristics.Results:The frequency of NMDA IgA/IgM antibodies was lower in Parkinson patients(13%)than in controls(22%)and higher than in previous studies in both groups.NMDA IgA/IgM antibodies were neither significantly associated with diagnostic subclasses of Parkinson disease according to cognitive impairment,nor with quantitative indicators of disease severity and cognitive impairment.A positive NMDA antibody status was positively correlated with age in controls but not in Parkinson patients.Conclusion:It is unlikely albeit not impossible that NMDA antibodies play a significant role in the pathogenesis or progression of Parkinson disease e.***.to Parkinson disease with dementia,while NMDA IgG antibodies define a separate disease of its own.

关键词： NMDA antibody NMDA IgA/IgM antibodies Parkinson disease Cognitive impairment

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