AI Article Synopsis

  • An improved trajectory matching algorithm utilizes derivative trajectories and the projection of experimental sinogram lines in a factor space created by model projections.
  • The algorithm's effectiveness is demonstrated using various phantom structures, highlighting how symmetry influences trajectory matching.
  • The algorithm is compared to traditional cross-correlation methods in reconstructing a GroEL complex, showing that it operates more quickly and produces high-quality structures with slight differences noted.

Article Abstract

An improvement of the trajectory matching algorithm is presented, which is based on the use of the derivative of trajectories and of the projection of experimental sinogram lines in the factor space determined by sinogram lines of projections of a model. The algorithm performance is illustrated by use of different phantom structures, to show the effect of symmetry on trajectory matching. A GroEL complex has also been reconstructed from both cryo-negatively stained and unstained frozen-hydrated samples. The refinement of this structure has been carried out by the trajectory matching algorithm as well as by conventional cross-correlation methods. Slight differences among the two results are discussed. The improved trajectory matching algorithm, based on chi2 distances, runs much faster than correlation analysis and looks satisfactory as for the quality of the reconstructed structures.

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Source
http://dx.doi.org/10.1016/s0304-3991(02)00152-3DOI Listing

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