PCT
Automated particle correspondence and accurate
tilt-axis detection in tilted-image pairs
Overview
Single Particle Analysis deals with the problem of reconstructing a
three dimensional structure of a macromolecule, e.g. protein-protein
or protein-RNA complexes, starting from two dimensional images
acquired through transmission electron microscopy.
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. We have developed 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.
[ code ] [ data ]
Publication
If you use the resources in this page, please cite our paper:
|
"Automated particle correspondence and accurate tilt-axis detection in tilted-image pairs"
Maxim Shatsky*, Pablo Arbelaez*, Bong-Gyoon Han, Dieter Typke, Steven E. Brenner, Jitendra Malik, Robert M. Glaeser.
Journal of Structural Biology, 2014. (* equal contribution)
[ online paper ]
[ pdf ]
|
Back to Berkeley Computer Vision page
Questions-->
Pablo Arbelaez
|