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Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs.
Shatsky, Maxim; Arbelaez, Pablo; Han, Bong-Gyoon; Typke, Dieter; Brenner, Steven E; Malik, Jitendra; Glaeser, Robert M.
Affiliation
  • Shatsky M; Physical Biosciences Division, Lawrence Berkeley National Laboratory, CA 94720, USA. Electronic address: max.shatsky@gmail.com.
  • Arbelaez P; Electrical Engineering and Computer Science Division, University of California, Berkeley, CA 94720, USA.
  • Han BG; Life Sciences Division, Lawrence Berkeley National Laboratory, CA 94720, USA.
  • Typke D; Life Sciences Division, Lawrence Berkeley National Laboratory, CA 94720, USA.
  • Brenner SE; Physical Biosciences Division, Lawrence Berkeley National Laboratory, CA 94720, USA; Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA.
  • Malik J; Electrical Engineering and Computer Science Division, University of California, Berkeley, CA 94720, USA.
  • Glaeser RM; Life Sciences Division, Lawrence Berkeley National Laboratory, CA 94720, USA.
J Struct Biol ; 187(1): 66-75, 2014 Jul.
Article in En | MEDLINE | ID: mdl-24694675
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ribosomes / Image Processing, Computer-Assisted / Imaging, Three-Dimensional / IMP Dehydrogenase Type of study: Diagnostic_studies Language: En Journal: J Struct Biol Journal subject: BIOLOGIA MOLECULAR Year: 2014 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ribosomes / Image Processing, Computer-Assisted / Imaging, Three-Dimensional / IMP Dehydrogenase Type of study: Diagnostic_studies Language: En Journal: J Struct Biol Journal subject: BIOLOGIA MOLECULAR Year: 2014 Document type: Article Country of publication: United States