Computational Methods for Three-Dimensional Microscopy Reconstruction
Editors: Herman, Gabor T., Frank, Joachim (Eds.)
Free Preview- Features authors from three expert groups that have made pioneering contributions to this field
- Provides interdisciplinary content that will appeal to mathematicians and biologists alike
- Includes mathematically concise statements of image formation and structure recovery problems
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- About this book
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Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ in detail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology.
Computational Methods for Three-Dimensional Microscopy Reconstruction will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in the area of 3D imaging and modeling.
- Table of contents (9 chapters)
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Introduction
Pages 1-5
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Interchanging Geometry Conventions in 3DEM: Mathematical Context for the Development of Standards
Pages 7-42
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Fully Automated Particle Selection and Verification in Single-Particle Cryo-EM
Pages 43-66
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Quantitative Analysis in Iterative Classification Schemes for Cryo-EM Application
Pages 67-95
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High-resolution Cryo-EM Structure of the
Pages 97-132
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computational Methods for Three-Dimensional Microscopy Reconstruction
- Editors
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- Gabor T. Herman
- Joachim Frank
- Series Title
- Applied and Numerical Harmonic Analysis
- Copyright
- 2014
- Publisher
- Birkhäuser Basel
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-9521-5
- DOI
- 10.1007/978-1-4614-9521-5
- Hardcover ISBN
- 978-1-4614-9520-8
- Softcover ISBN
- 978-1-4939-4691-4
- Series ISSN
- 2296-5009
- Edition Number
- 1
- Number of Pages
- XIII, 260
- Number of Illustrations
- 52 b/w illustrations, 59 illustrations in colour
- Topics
