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.... dataset obtained in lowcontrast conditions that the automated verification algorithm is superior to manual verification. ... ArbelAiez P, Han BG, Typke D, Lim J, Glaeser RM, Malik J (2011) Experimental evaluation of support vector machine -based and correlation-based approaches to ... Burges CC (1998) A tutorial on support vector machines for pattern recognition. ... David-Eden H, Mankin AS, Mandel-Gutfreund Y (2010) Structural signatures of antibiotic binding sites on the ribosome.

Title | : | Computational Methods for Three-Dimensional Microscopy Reconstruction |

Author | : | Gabor T. Herman, Joachim Frank |

Publisher | : | Springer Science & Business Media - 2014-01-29 |

Continue