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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.

ÈçºÎ¶ÔÈýάÏÔ΢½á¹¹½øÐмÆËã»úÖØ¹¹ÊDzÄÁÏ·ÖÎöÓë¼ÆËã»ú½»²æÁìÓòµÄÑо¿Èȵ㣬ÕâÊÇ2014ÄêгöµÄ¹ØÓÚÕâÒ»Ñо¿·½ÏòµÄÐÂÊ飬·ÖÏí¸ø´ó¼Ò£¬Ï£Íû¶Ô´ó¼ÒÓаïÖú£¡¸ø¸öºÃÆÀŶ£¬Ð»Ð»ÁË£¡
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 :

Content:
Front Matter....Pages i-xiii
Introduction....Pages 1-5
Interchanging Geometry Conventions in 3DEM: Mathematical Context for the Development of Standards....Pages 7-42
Fully Automated Particle Selection and Verification in Single-Particle Cryo-EM....Pages 43-66
Quantitative Analysis in Iterative Classification Schemes for Cryo-EM Application....Pages 67-95
High-resolution Cryo-EM Structure of the Trypanosoma brucei Ribosome: A Case Study....Pages 97-132
Computational Methods for Electron Tomography of Influenza Virus....Pages 133-156
Reconstruction from Microscopic Projections with Defocus-Gradient and Attenuation Effects....Pages 157-186
Soft X-Ray Tomography Imaging for Biological Samples....Pages 187-220
Using Component Trees to Explore Biological Structures....Pages 221-255
Back Matter....Pages 257-264ÈýάÏÔ΢½á¹¹µÄ¼ÆËã»úÖØ¹¹¼¼Êõ
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