<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2004Sigworth_Detection</id>
	<title>2004Sigworth Detection - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2004Sigworth_Detection"/>
	<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2004Sigworth_Detection&amp;action=history"/>
	<updated>2026-05-24T19:52:21Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.44.2</generator>
	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2004Sigworth_Detection&amp;diff=2330&amp;oldid=prev</id>
		<title>CoSS: Created page with &quot;== Citation ==  Sigworth, F. J. Classical detection theory and the cryo-EM particle selection problem J. Structural Biology, 2004, 145, 111-122  == Abstract ==  Particle selec...&quot;</title>
		<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2004Sigworth_Detection&amp;diff=2330&amp;oldid=prev"/>
		<updated>2013-05-20T08:15:35Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Sigworth, F. J. Classical detection theory and the cryo-EM particle selection problem J. Structural Biology, 2004, 145, 111-122  == Abstract ==  Particle selec...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
&lt;br /&gt;
Sigworth, F. J. Classical detection theory and the cryo-EM particle selection problem J. Structural Biology, 2004, 145, 111-122&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
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.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
Automatic particle picking&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
http://www.ncbi.nlm.nih.gov/pubmed/15065679&lt;br /&gt;
&lt;br /&gt;
== Related software ==&lt;br /&gt;
&lt;br /&gt;
== Related methods ==&lt;br /&gt;
&lt;br /&gt;
== Comments ==&lt;/div&gt;</summary>
		<author><name>CoSS</name></author>
	</entry>
</feed>