Format

Send to

Choose Destination
See comment in PubMed Commons below
J Struct Biol. 2008 Oct;164(1):41-8. doi: 10.1016/j.jsb.2008.06.006. Epub 2008 Jun 20.

Particle-verification for single-particle, reference-based reconstruction using multivariate data analysis and classification.

Author information

1
Wadsworth Center, Empire State Plaza, Albany, NY 12201-0509, USA.

Abstract

As collection of electron microscopy data for single-particle reconstruction becomes more efficient, due to electronic image capture, one of the principal limiting steps in a reconstruction remains particle-verification, which is especially costly in terms of user input. Recently, some algorithms have been developed to window particles automatically, but the resulting particle sets typically need to be verified manually. Here we describe a procedure to speed up verification of windowed particles using multivariate data analysis and classification. In this procedure, the particle set is subjected to multi-reference alignment before the verification. The aligned particles are first binned according to orientation and are binned further by K-means classification. Rather than selection of particles individually, an entire class of particles can be selected, with an option to remove outliers. Since particles in the same class present the same view, distinction between good and bad images becomes more straightforward. We have also developed a graphical interface, written in Python/Tkinter, to facilitate this implementation of particle-verification. For the demonstration of the particle-verification scheme presented here, electron micrographs of ribosomes are used.

PMID:
18619547
PMCID:
PMC2577219
DOI:
10.1016/j.jsb.2008.06.006
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Support Center