000 03569nam a22005415i 4500
001 978-1-4614-9521-5
003 DE-He213
005 20140220082505.0
007 cr nn 008mamaa
008 140128s2014 xxu| s |||| 0|eng d
020 _a9781461495215
_9978-1-4614-9521-5
024 7 _a10.1007/978-1-4614-9521-5
_2doi
050 4 _aQH323.5
072 7 _aPBW
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aHerman, Gabor T.
_eeditor.
245 1 0 _aComputational Methods for Three-Dimensional Microscopy Reconstruction
_h[electronic resource] /
_cedited by Gabor T. Herman, Joachim Frank.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Birkhäuser,
_c2014.
300 _aXIII, 260 p. 111 illus., 59 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aApplied and Numerical Harmonic Analysis,
_x2296-5009
505 0 _a1 Introduction -- 2 Interchanging geometry conventions in 3DEM: Mathematical context for the development of standards -- 3 Fully automated particle selection and verification in single-particle cryo-EM -- 4 Quantitative analysis in iterative classification schemes for cryo-EM applications -- 5 High-resolution cryo-EM structure of the Trypanosoma brucei ribosome of a case study -- 6 Computational methods for electron tomography of influenza virus -- 7 Reconstruction from microscopic projections with defocus-gradient and attenuation effects -- 8 Soft X-ray tomography imaging for biological samples -- 9 Using component trees to explore biological structures.
520 _aApproaches 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.
650 0 _aMathematics.
650 0 _aBioinformatics.
650 0 _aPhysiology
_xMathematics.
650 0 _aVisualization.
650 0 _aCell aggregation
_xMathematics.
650 1 4 _aMathematics.
650 2 4 _aPhysiological, Cellular and Medical Topics.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aBioinformatics.
650 2 4 _aVisualization.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aManifolds and Cell Complexes (incl. Diff.Topology).
700 1 _aFrank, Joachim.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461495208
830 0 _aApplied and Numerical Harmonic Analysis,
_x2296-5009
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9521-5
912 _aZDB-2-SMA
999 _c92388
_d92388