Article

Correlation of Topographic Surface and Volume Data from Three-Dimensional Electron Microscopy

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Abstract

Three-dimensional(3D) reconstructions from tilt series in an electron microscope show in general an anisotropic resolution due to an instrumentally limited tilt angle. As a consequence, the information in the z direction is blurred, thus making it difficult to detect the boundary of the reconstructed structures. In contrast, high-resolution topography data from microscopic surface techniques provide exactly complementary information. The combination of topographic surface and volume data leads to a better understanding of the 3D structure. The new correlation procedure presented determines both the height scaling of the topographic surface and the relative position of surface and volume data, thus allowing information to be combined. Experimental data for crystalline T4 bacteriophage polyheads were used to test the new method. Three-dimensional volume data were reconstructed from a negatively stained tilt series. Topographic data for both surfaces were obtained by surface relief reconstruction of electron micrographs of freeze-dried and unidirectionally metal-shadowed polyheads. The combined visualization of volume data with the scaled and aligned surface data shows that the correlation technique yields meaningful results. The reported correlation method may be applied to surface data obtained by any microscopic technique yielding topographic data.

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... In some situations (as for example for crystalline objects, cell membranes, etc.), these fine structures can be obtained to high resolution by modern scanning and microscopy techniques(e.g. [40]) and the full resolution with a FEM is often out of reach. Another source of roughness can arise from the coefficients (tensor) of the diffusion problem. ...
... where we used (40), the Cauchy-Schwarz inequality and the assumption on the tensor a ε and on the QF. Using an inequality similar to (50) gives the second assertion of the lemma and the proof is complete by noting that the arguments remain unchanged when δ > ε and δ/ε ∈ N. ...
... Our main motivation for implementing a reconstruction algorithm for crystals that works in real space and is iterative is not to replace the well established methods used at present but to create a framework in which we can easily incorporate information available from other sources. This information, such as surface reliefs from atomic or shadowing microscopies (see [15, 16] for a description of our work in this area), or a more suitable model of the imaging device (contrast transfer function; see [16] ) is more easily and naturally incorporated in a real space iterative method than in a Fourier space based algorithm. For example, in the ART connector using the traditional algorithm (top) and the new algorithm (middle). ...
Conference Paper
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Article
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Digital image processing is an essential step in the determination of macromolecular structures by electron microscopy. Centrally important procedures are the averaging of many images of the subunit to improve the signal, the correction for various transfer functions, and the generation of a three-dimensional map from a set of two-dimensional projections. The detailed way in which these computational procedures are best carried out depends on the symmetry of the object and the type of specimen preparation. Over many years a large set of programs has been written by various members of the Laboratory of Molecular Biology for processing images of two-dimensional crystals and of particles with helical or icosahedral symmetry. The philosophy has been to write stand-alone programs and the whole system is given coherence by the adoption of standard formats for the storage and interchange of different kinds of data. This paper describes the current state of the programs.
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Algebraic reconstruction techniques (ART) are iterative procedures for solving systems of linear equations. They have been used in tomography to recover objects from their projections. In this work we apply an ART approach in which the basis functions used to describe the objects are not based on voxels, but are much smoother functions named "blobs". The data collection studied in this work follows the so-called "conical tilt geometry" that is commonly used in many applications of three-dimensional electron microscopy of biological macromolecules. The performance of ART with blobs is carefully compared with a currently well-known three dimensional (3D) reconstruction algorithm (weighted back projection) using a methodology which assigns a level of statistical significance to a claim of relative superiority of one algorithm over another for a particular task. The conclusion we reach is that ART with blobs produces high-quality reconstructions and is, in particular, superior to weighted backprojection in recovering features along the "vertical" direction. For the exact implementation recommended in this paper, the computational costs of ART are almost an order of magnitude smaller than those of WBP.
Recent progress in high-resolution shadowing for biological transmission elec-tron micrsocopy in
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Reconstruction and representation of surface data from two-dimensional crystalline, biological macromolecules
  • Fuchs