Difference between revisions of "2004Sigworth Detection"

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(Created page with "== Citation == Sigworth, F. J. Classical detection theory and the cryo-EM particle selection problem J. Structural Biology, 2004, 145, 111-122 == Abstract == Particle selec...")
 
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Latest revision as of 08:15, 20 May 2013

Citation

Sigworth, F. J. Classical detection theory and the cryo-EM particle selection problem J. Structural Biology, 2004, 145, 111-122

Abstract

Particle selection is an essential but tedious step in the determination of macromolecular structures by single particle reconstruction. This paper presents an automatic, multi-reference particle detection scheme that is based on the classical matched filter principle. It makes use of a pre-whitening filter to standardize the noise, a reduced representation of the references by means of principal component analysis, and a statistic for distinguishing particles from image artifacts. Standardizing the noise allows the noise-induced false-positive frequency to be estimated, and also allows the distribution of the discrimination statistic to be calculated a priori. The method is demonstrated with an annotated dataset of cryo-EM images.

Keywords

Automatic particle picking

Links

http://www.ncbi.nlm.nih.gov/pubmed/15065679

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