Advanced Computing In Electron Microscopy

This updated and revised edition of a classic work provides a summary of methods for numerical computation of high resolution conventional and scanning transmission electron microscope images. At the limits of resolution, image artifacts due to the instrument and the specimen interaction can complicate image interpretation. Image calculations can help the user to interpret and understand high resolution information in recorded electron micrographs. The book contains expanded sections on aberration correction, including a detailed discussion of higher order (multipole) aberrations and their effect on high resolution imaging, new imaging modes such as ABF (annular bright field), and the latest developments in parallel processing using GPUs (graphic processing units), as well as updated references. Beginning and experienced users at the advanced undergraduate or graduate level will find the book to be a unique and essential guide to the theory and methods of computation in electron microscopy.

This volume is a continuation of two prior books on advanced electron microscope techniques. The purpose of this series has been to provide in depth analyses of methods which are considered to be at the leading edge of electron microscopic research procedures with applications in the biological sciences. The mission of the present volume remains that of a source book for the research practitioner or advanced student, especially one already well versed in basic electron optical methods. It is not meant to provide in troductory material, nor can this modest volume hope to cover the entire spectrum of advanced technology now available in electron microscopy. In the past decade, computers have found their way into many research laboratories thanks to the enormous increase in computing power and stor age available at a modest cost. The ultrastructural area has also benefited from this expansion in a number of ways which will be illustrated in this volume. Half of the contributions discuss technologies that either directly or indirectly make extensive use of computer methods.

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Scanning Transmission Electron Microscopy: Advanced Characterization Methods for Materials Science Applications The information comprised in this book is focused on discussing the latest approaches in the recording of high-fidelity quantitative annular dark-field (ADF) data. It showcases the application of machine learning in electron microscopy and the latest advancements in image processing and data interpretation for materials notoriously difficult to analyze using scanning transmission electron microscopy (STEM). It also highlights strategies to record and interpret large electron diffraction datasets for the analysis of nanostructures. This book: Discusses existing approaches for experimental design in the recording of high-fidelity quantitative ADF data Presents the most common types of scintillator-photomultiplier ADF detectors, along with their strengths and weaknesses. Proposes strategies to minimize the introduction of errors from these detectors and avenues for dealing with residual errors Discusses the practice of reliable multiframe imaging, along with the benefits and new experimental opportunities it presents in electron dose or dose-rate management Focuses on supervised and unsupervised machine learning for electron microscopy Discusses open data formats, community-driven software, and data repositories Proposes methods to process information at both global and local scales, and discusses avenues to improve the storage, transfer, analysis, and interpretation of multidimensional datasets Provides the spectrum of possibilities to study materials at the resolution limit by means of new developments in instrumentation Recommends methods for quantitative structural characterization of sensitive nanomaterials using electron diffraction techniques and describes strategies to collect electron diffraction patterns for such materials This book helps academics, researchers, and industry professionals in materials science, chemistry, physics, and related fields to understand and apply computer-science–derived analysis methods to solve problems regarding data analysis and interpretation of materials properties.

This book highlights what is now achievable in terms of materials characterization with the new generation of cold-field emission scanning electron microscopes applied to real materials at high spatial resolution. It discusses advanced scanning electron microscopes/scanning- transmission electron microscopes (SEM/STEM), simulation and post-processing techniques at high spatial resolution in the fields of nanomaterials, metallurgy, geology, and more. These microscopes now offer improved performance at very low landing voltage and high -beam probe current stability, combined with a routine transmission mode capability that can compete with the (scanning-) transmission electron microscopes (STEM/-TEM) historically run at higher beam accelerating voltage

Towards the end of the 1960s, a number of quite different circumstances combined to launch a period of intense activity in the digital processing of electron micro graphs. First, many years of work on correcting the resolution-limiting aberrations of electron microscope objectives had shown that these optical impediments to very high resolution could indeed be overcome, but only at the cost of immense exper imental difficulty; thanks largely to the theoretical work of K. -J. Hanszen and his colleagues and to the experimental work of F. Thon, the notions of transfer func tions were beginning to supplant or complement the concepts of geometrical optics in electron optical thinking; and finally, large fast computers, capable of manipu lating big image matrices in a reasonable time, were widely accessible. Thus the idea that recorded electron microscope images could be improved in some way or rendered more informative by subsequent computer processing gradually gained ground. At first, most effort was concentrated on three-dimensional reconstruction, particu larly of specimens with natural symmetry that could be exploited, and on linear operations on weakly scattering specimens (Chap. l). In 1973, however, R. W. Gerchberg and W. O. Saxton described an iterative algorithm that in principle yielded the phase and amplitude of the electron wave emerging from a strongly scattering speci men.

Scanning transmission electron microscopy has become a mainstream technique for imaging and analysis at atomic resolution and sensitivity, and the authors of this book are widely credited with bringing the field to its present popularity. Scanning Transmission Electron Microscopy(STEM): Imaging and Analysis will provide a comprehensive explanation of the theory and practice of STEM from introductory to advanced levels, covering the instrument, image formation and scattering theory, and definition and measurement of resolution for both imaging and analysis. The authors will present examples of the use of combined imaging and spectroscopy for solving materials problems in a variety of fields, including condensed matter physics, materials science, catalysis, biology, and nanoscience. Therefore this will be a comprehensive reference for those working in applied fields wishing to use the technique, for graduate students learning microscopy for the first time, and for specialists in other fields of microscopy.

Computer Techniques for Image Processing in Electron Microscopy, Volume 214 in the Advances in Imaging and Electron Physics series, presents the latest advances in the field, with this new volume covering Image Formation Theory, The Discrete Fourier Transform, Analytic Images, The Image and Diffraction Plane Problem: Uniqueness, The Image and Diffraction Plane Problem: Numerical Methods, The Image and Diffraction Plane Problem: Computational Trials, Alternative Data for the Phase Determination, The Hardware of Digital Image Handling, Basic Software or Digital Image Handling, Improc, and much more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Advances in Imaging and Electron Physics series