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

Journal Article · Tue Jul 01 00:00:00 EDT 2014 · Journal of Structural Biology

DOI:https://doi.org/10.1016/j.jsb.2014.03.017· OSTI ID:1198096

Shatsky, Maxim; Arbelaez, Pablo; Han, Bong-Gyoon; Typke, Dieter; Brenner, Steven E.; Malik, Jitendra; Glaeser, Robert M.

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.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• Grant/Contract Number: AC02-05CH11231
• OSTI ID: 1198096
• Alternate ID(s): OSTI ID: 1407218
• Journal Information: Journal of Structural Biology, Journal Name: Journal of Structural Biology Vol. 187 Journal Issue: 1; ISSN 1047-8477
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

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