Editors:
- 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
Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Department of Computer Science, The Graduate Center City University of New York, New York, USA
Gabor T. Herman
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Department of Biology, Biochemistry and Molecular Biophysics, Columbia University, New York, USA
Joachim Frank
Bibliographic Information
Book Title: Computational Methods for Three-Dimensional Microscopy Reconstruction
Editors: Gabor T. Herman, Joachim Frank
Series Title: Applied and Numerical Harmonic Analysis
DOI: https://doi.org/10.1007/978-1-4614-9521-5
Publisher: Birkhäuser New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-9520-8Published: 29 January 2014
Softcover ISBN: 978-1-4939-4691-4Published: 27 August 2016
eBook ISBN: 978-1-4614-9521-5Published: 29 January 2014
Series ISSN: 2296-5009
Series E-ISSN: 2296-5017
Edition Number: 1
Number of Pages: XIII, 260
Number of Illustrations: 52 b/w illustrations, 59 illustrations in colour
Topics: Physiological, Cellular and Medical Topics, Computational Biology/Bioinformatics, Bioinformatics, Visualization, Mathematical Modeling and Industrial Mathematics, Manifolds and Cell Complexes (incl. Diff.Topology)