1971
DOI: 10.1073/pnas.68.9.2236
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Three-dimensional Reconstruction from Radiographs and Electron Micrographs: Application of Convolutions instead of Fourier Transforms

Abstract: A new technique is proposed for the mathematical process of reconstruction of a three-dimensional object from its transmission shadowgraphs; it uses convolutions with functions defined in the real space of the object, without using Fourier transforms. The The first step in the solution of the problem consists of replacing the three-dimensional (optical) density distribution by a set of two-dimensional density functions in a series of sections perpendicular to, say, the z-axis, as shown in Fig. 1. The object … Show more

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Cited by 849 publications
(283 citation statements)
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“…Electron microscopy is a widely used method to obtain the structure of viruses at low to moderate resolution [2], [7], [8], [9], [11], [15], [23]; X-ray crystallography has traditionally been used for high resolution structure determination at resolutions of 3 Å or better. However crystallization of large macromolecules like viruses is extremely challenging, and hence there is a desire to push the limits of electron microscopy and extend the resolutions of structure determination to the 5 Å range.…”
Section: Structure Determination In Cryo-temmentioning
confidence: 99%
“…Electron microscopy is a widely used method to obtain the structure of viruses at low to moderate resolution [2], [7], [8], [9], [11], [15], [23]; X-ray crystallography has traditionally been used for high resolution structure determination at resolutions of 3 Å or better. However crystallization of large macromolecules like viruses is extremely challenging, and hence there is a desire to push the limits of electron microscopy and extend the resolutions of structure determination to the 5 Å range.…”
Section: Structure Determination In Cryo-temmentioning
confidence: 99%
“…FilteredBack-Projection is a direct algorithm for reconstruction of the attenuation function μ(x 1 , x 2 ) from the sinogram g θ (s). It is based on the Radon inversion formula, and consists of two steps: (i) Apply a convolution filter to each projection g θ , with the kernel κ(t) defined in Fourier domain byκ(ω) = |ω| (the filter of Ramachandran and Lakshminarayanan (Ram-Lak), also known as the ramp filter [11]); and (ii) Apply the adjoint R * of the Radon transform (the back-projection transform).…”
Section: Problem Statement and Backgroundmentioning
confidence: 99%
“…The most popular filter response functions for 2D reconstruction are the Shepp-Logan 55 and Ram-Lak. 56 The image is reconstructed from filtered projections obtained for n equally spaced angles from 0 to (-2 projections will be identical since interchanging the sample and the gradient directions does not affect the projection profile) by the discrete approximation to the back-projection integral. Because the filtered projections are in polar coordinates whereas the image is represented in Cartesian coordinates, a match between the experimental polar grid and back-projected Cartesian grid can always be approximated by linear interpolation.…”
Section: Data Acquisition and Image Reconstruction In Cw Eprmentioning
confidence: 99%