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Title: Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs

Tilted electron microscope images are routinely collected for an ab initio structure reconstruction as a part of the Random Conical Tilt (RCT) or Orthogonal Tilt Reconstruction (OTR) methods, as well as for various applications using the "free-hand" procedure. These procedures all require identification of particle pairs in two corresponding images as well as accurate estimation of the tilt-axis used to rotate the electron microscope (EM) grid. Here we present a computational approach, PCT (particle correspondence from tilted pairs), based on tilt-invariant context and projection matching that addresses both problems. The method benefits from treating the two problems as a single optimization task. It automatically finds corresponding particle pairs and accurately computes tilt-axis direction even in the cases when EM grid is not perfectly planar.
Authors:
 [1] ;  [2] ;  [3] ;  [3] ;  [4] ;  [2] ;  [3]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Div.
  2. Univ. of California, Berkeley, CA (United States). Electrical Engineering and Computer Science Div.
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Div.
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Div.; Univ. of California, Berkeley, CA (United States). Dept. of Plant and Microbial Biology
Publication Date:
Grant/Contract Number:
AC02-05CH11231
Type:
Published Article
Journal Name:
Journal of Structural Biology
Additional Journal Information:
Journal Volume: 187; Journal Issue: 1; Journal ID: ISSN 1047-8477
Publisher:
Elseiver
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES
OSTI Identifier:
1198096
Alternate Identifier(s):
OSTI ID: 1407218