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	<title>2024Muller Common - Revision history</title>
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	<updated>2026-05-24T22:01:00Z</updated>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2024Muller_Common&amp;diff=4631&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Muller, Tommi / Duncan, Adriana L. / Verbeke, Eric / Kileel, Joe. Algebraic Constraints and Algorithms for Common Lines in Cryo-EM. 2024. Biological Imaging, p. 1-30  == Abstract ==  We revisit the topic of common lines between projection images in single particle cryo-electron microscopy (cryo- EM). We derive a novel low-rank constraint on a certain 2nxn matrix storing properly-scaled basis vectors for the common lines between n projection images of one...&quot;</title>
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		<updated>2024-08-08T05:41:00Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Muller, Tommi / Duncan, Adriana L. / Verbeke, Eric / Kileel, Joe. Algebraic Constraints and Algorithms for Common Lines in Cryo-EM. 2024. Biological Imaging, p. 1-30  == Abstract ==  We revisit the topic of common lines between projection images in single particle cryo-electron microscopy (cryo- EM). We derive a novel low-rank constraint on a certain 2nxn matrix storing properly-scaled basis vectors for the common lines between n projection images of one...&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;
Muller, Tommi / Duncan, Adriana L. / Verbeke, Eric / Kileel, Joe. Algebraic Constraints and Algorithms for Common Lines in Cryo-EM. 2024. Biological Imaging, p. 1-30&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
We revisit the topic of common lines between projection images in single particle cryo-electron microscopy (cryo-&lt;br /&gt;
EM). We derive a novel low-rank constraint on a certain 2nxn matrix storing properly-scaled basis vectors for&lt;br /&gt;
the common lines between n projection images of one molecular conformation. Using this algebraic constraint&lt;br /&gt;
and others, we give optimization algorithms to denoise common lines and recover the unknown 3D rotations&lt;br /&gt;
associated to the images. As an application, we develop a clustering algorithm to partition a set of noisy images into&lt;br /&gt;
homogeneous communities using common lines, in the case of discrete heterogeneity in cryo-EM.We demonstrate&lt;br /&gt;
the methods on synthetic and experimental datasets.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.cambridge.org/core/journals/biological-imaging/article/algebraic-constraints-and-algorithms-for-common-lines-in-cryoem/E8857389E474D2C87A59C2E9881C679B&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>WikiSysop</name></author>
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