4.4 Article

Local refinement: An attempt to correct for shrinkage and distortion in electron tomography

Journal

JOURNAL OF STRUCTURAL BIOLOGY
Volume 158, Issue 1, Pages 59-70

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2006.10.015

Keywords

electron tomography; local refinement; shrinkage correction; conical geometry; 3D reconstruction

Funding

  1. NEI NIH HHS [R01 EY004110-22, EY-04410, R01 EY004110, R01 EY004110-23] Funding Source: Medline
  2. NIGMS NIH HHS [R01 GM068650, R01 GM068650-03] Funding Source: Medline

Ask authors/readers for more resources

A critical problem in electron tomography is the deformation of the specimen due to radiation, or shrinkage, which interferes with image alignment and thereby limits resolution. Here, we describe a general strategy for refining preliminary reconstructions which allows the damage due to the shrinkage of plastic-embedded thin sectioned specimens (50-80 nm) to be corrected. The basic steps of the strategy involve: (a) the partition of the preliminary reconstruction into sub-volumes; (b) the extraction of corresponding sub-areas for each sub-volume from the micrographs of the tilt series; (c) the re-projection of each sub-volume according to the orientation parameters; and (d) the refinement of these parameters by correlating each sub-area to the corresponding computed projection. We tested the strategy by refining chemical synapses reconstructed from series imaged with conical, double and single tilt geometries. The results gathered with local refinement were evaluated by visually inspecting the structure of biological membranes in the maps. In an effort to quantify these improvements, we studied the refined maps using correlation criteria and mapped the corrections applied to the orientation parameters in each sub-volume of the reconstruction. Simulation experiments complemented the data gathered by correlation analysis. Based on these criteria, we concluded that local refinement significantly improves the overall quality of the reconstructions of chemical synapses calculated from series imaged with conical and double tilt geometries. (c) 2006 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available