Modeling Nanoscale Imaging in Electron Microscopy / edited by Thomas Vogt, Wolfgang Dahmen, Peter Binev
(Nanostructure Science and Technology. ISSN:15715744)
データ種別 | 電子ブック |
---|---|
著者標目 | Vogt, Thomas editor Dahmen, Wolfgang editor Binev, Peter editor SpringerLink (Online service) |
出版者 | (Boston, MA : Springer New York) |
出版年 | 2012 |
書誌詳細を非表示
巻次 | ISBN:9781461421917 |
---|---|
大きさ | IX, 182 p : online resource |
一般注記 | Statistical and Information-Theoretic Analysis of Resolution in Imaging -- (Scanning) Transmission Electron Microscopy: Overview and Examples for the Non-Microscopist -- Seeing Atoms in the Crossroads of Microscopy and Mathematics -- Kantianism at the Nanoscale -- Reference free cryo-EM algorithms using self-consistent data fusion -- Reference free cryo-EM algorithms using self-consistent data fusion -- Applications of multivariate statistical analysis for large-scale spectrum-image datasets and atomic-resolution images -- Compressed Sensing -- Imaging the behavior of atoms, clusters and nanoparticles during elevated temperature experiments in an aberration-corrected electron microscope -- Towards Quantitative Imaging using Aberration Correction and Exit Wave Reconstruction -- Image registration, classification and averaging in cryo-electron tomography -- (Scanning) Transmission Electron Microscopy with High spatial, temporal and energy resolution -- Fluctuation Microscopy: Nanoscale Order in Amorphous Materials from Electron Nanodiffraction -- Information in super-resolution microscopy and automated analysis of large-scale calcium imaging data -- Concluding remarks on Imaging in Electron Microscopy Modeling Nanoscale Imaging in Electron Microscopy presents the recent advances that have been made using mathematical methods to resolve problems in microscopy. With improvements in hardware-based aberration software significantly expanding the nanoscale imaging capabilities of scanning transmission electron microscopes (STEM), these mathematical models can replace some labor intensive procedures used to operate and maintain STEMs. This book, the first in its field since 1998, will also cover such relevant concepts as superresolution techniques, special denoising methods, application of mathematical/statistical learning theory, and compressed sensing HTTP:URL=https://doi.org/10.1007/978-1-4614-2191-7 |
件 名 | LCSH:Surfaces (Physics) LCSH:Analytical biochemistry LCSH:Nanotechnology LCSH:Chemistry FREE:Characterization and Evaluation of Materials FREE:Analytical Chemistry FREE:Nanotechnology FREE:Theoretical and Computational Chemistry FREE:Measurement Science and Instrumentation |
分 類 | LCC:TA404.6 DC23:620.11 |
書誌ID | OB00007039 |
ISBN | 9781461421917 |