Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs
Abstract
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:
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1198096
- Alternate Identifier(s):
- OSTI ID: 1407218
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Journal of Structural Biology
- Additional Journal Information:
- Journal Name: Journal of Structural Biology Journal Volume: 187 Journal Issue: 1; Journal ID: ISSN 1047-8477
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Shatsky, Maxim, Arbelaez, Pablo, Han, Bong-Gyoon, Typke, Dieter, Brenner, Steven E., Malik, Jitendra, and Glaeser, Robert M. Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs. United States: N. p., 2014.
Web. doi:10.1016/j.jsb.2014.03.017.
Shatsky, Maxim, Arbelaez, Pablo, Han, Bong-Gyoon, Typke, Dieter, Brenner, Steven E., Malik, Jitendra, & Glaeser, Robert M. Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs. United States. https://doi.org/10.1016/j.jsb.2014.03.017
Shatsky, Maxim, Arbelaez, Pablo, Han, Bong-Gyoon, Typke, Dieter, Brenner, Steven E., Malik, Jitendra, and Glaeser, Robert M. Tue .
"Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs". United States. https://doi.org/10.1016/j.jsb.2014.03.017.
@article{osti_1198096,
title = {Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs},
author = {Shatsky, Maxim and Arbelaez, Pablo and Han, Bong-Gyoon and Typke, Dieter and Brenner, Steven E. and Malik, Jitendra and Glaeser, Robert M.},
abstractNote = {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.},
doi = {10.1016/j.jsb.2014.03.017},
journal = {Journal of Structural Biology},
number = 1,
volume = 187,
place = {United States},
year = {Tue Jul 01 00:00:00 EDT 2014},
month = {Tue Jul 01 00:00:00 EDT 2014}
}
https://doi.org/10.1016/j.jsb.2014.03.017
Web of Science