Mathematical Methods for Electron Tomography

List of contents

1. Introduction. 2. The image formation in a transmission electron microscope (TEM). I. TEM data analysis. 3. Image alignment. 4. Estimating imaging parameters. II. Image reconstruction. 5. Overview of general regularization theory. 6. Analytic reconstruction methods. Iterative reconstruction methods. 7. Variational reconstruction methods. 8. Bayesian regularization methods. III. Image processing. 9. Segmentation. 10. Structure recognition and classification. 11. Methods for evaluation of reconstructions. IV. New developments. 12. Mumford-Shah based regularization for simultaeous reconstruction and segmentation. 13. Shape based regularization for simultaneous reconstruction, segmentation and classification.

Summary

One of the central issues in life sciences research is to understand human biological processes in the cell in time and space, preferably at a molecular level. This book offers a comprehensive overview of various mathematical methods for 3D image reconstruction and post-processing methods relevant for electron tomography. It discusses several topics in detail, which may appeal to a much larger audience. The authors emphasize development during the last decade that involves an increasing degree of mathematical sophistication. Code (or pseudo--‐code) will in selected cases be included.

Product details

• Authors: Ozan Oktem, Ozan (KTH Royal Institute of Technology Oktem, Ozan/ Rullgard Oktem, Hans Rullgard
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 05.04.2016, delayed
• EAN: 9781466554412
• ISBN: 978-1-4665-5441-2
• No. of pages: 400
• Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series; Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
• Subject: Natural sciences, medicine, IT, technology > Physics, astronomy > Electricity, magnetism, optics