English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Automated correlation of single particle tilt pairs for Random Conical Tilt and Orthogonal Tilt Reconstructions.

Hauer, F., Gerle, C., Kirves, J. M., & Stark, H. (2013). Automated correlation of single particle tilt pairs for Random Conical Tilt and Orthogonal Tilt Reconstructions. Journal of Structural Biology, 181(2), 149-154. doi:10.1016/j.jsb.2012.10.014.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-F80B-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-0CD0-B
Genre: Journal Article

Files

show Files
hide Files
:
1739375.pdf (Publisher version), 985KB
Name:
1739375.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
1739375_Suppl_1.pdf (Supplementary material), 305KB
Name:
1739375_Suppl_1.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Creators

show
hide
 Creators:
Hauer, F.1, Author              
Gerle, C., Author
Kirves, J. M.1, Author              
Stark, H.1, Author              
Affiliations:
1Research Group of 3D Electron Cryo-Microscopy, MPI for biophysical chemistry, Max Planck Society, ou_578577              

Content

show
hide
Free keywords: -
 Abstract: One of the major methodological challenges in single particle electron microscopy is obtaining initial reconstructions which represent the structural heterogeneity of the dataset. Random Conical Tilt and Orthogonal Tilt Reconstruction techniques in combination with 3D alignment and classification can be used to obtain initial low-resolution reconstructions which represent the full range of structural heterogeneity of the dataset. In order to achieve statistical significance, however, a large number of 3D reconstructions, and, in turn, a large number of tilted image pairs are required. The extraction of single particle tilted image pairs from micrographs can be tedious and time-consuming, as it requires intensive user input even for semi-automated approaches. To overcome the bottleneck of manual selection of a large number of tilt pairs, we developed an algorithm for the correlation of single particle images from tilted image pairs in a fully automated and user-independent manner. The algorithm reliably correlates correct pairs even from noisy micrographs. We further demonstrate the applicability of the algorithm by using it to obtain initial references both from negative stain and unstained cryo datasets.

Details

show
hide
Language(s): eng - English
 Dates: 2013-02
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.jsb.2012.10.014
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Structural Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 181 (2) Sequence Number: - Start / End Page: 149 - 154 Identifier: -