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	<title>2014Chen Autofocus - Revision history</title>
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	<updated>2026-05-24T21:06:03Z</updated>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2014Chen_Autofocus&amp;diff=2703&amp;oldid=prev</id>
		<title>CoSS: Created page with &quot;== Citation ==  Chen, Y.; Pfeffer, S.; Fernández, J. J.; Sorzano, C. O. S. &amp; Förster, F. Autofocused 3D classification of cryoelectron subtomograms. Structure, 2014, 22, 152...&quot;</title>
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		<updated>2015-07-31T06:51:59Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Chen, Y.; Pfeffer, S.; Fernández, J. J.; Sorzano, C. O. S. &amp;amp; Förster, F. Autofocused 3D classification of cryoelectron subtomograms. Structure, 2014, 22, 152...&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;
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Chen, Y.; Pfeffer, S.; Fernández, J. J.; Sorzano, C. O. S. &amp;amp; Förster, F. Autofocused 3D classification of cryoelectron subtomograms. Structure, 2014, 22, 1528-1537&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Classification of subtomograms obtained by cryoelectron tomography (cryo-ET) is a powerful approach to study the conformational landscapes of macromolecular complexes in situ. Major challenges in subtomogram classification are the low signal-to-noise ratio (SNR) of cryo-tomograms, their incomplete angular sampling, the unknown number of classes and the typically unbalanced abundances of structurally distinct complexes. Here, we propose a clustering algorithm named AC3D that is based on a similarity measure, which automatically focuses on the areas of major structural discrepancy between respective subtomogram class averages. Furthermore, we incorporate a spherical-harmonics-based fast subtomogram alignment algorithm, which provides a significant speedup. Assessment of our approach on simulated data sets indicates substantially increased classification accuracy of the presented method compared to two state-of-the-art approaches. Application to experimental subtomograms depicting endoplasmic-reticulum-associated ribosomal particles shows that AC3D is well suited to deconvolute the compositional heterogeneity of macromolecular complexes in situ.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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http://www.ncbi.nlm.nih.gov/pubmed/25242455&lt;br /&gt;
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== Related software ==&lt;br /&gt;
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http://pytom.org/doc/pytom/AC3D.html&lt;br /&gt;
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== Related methods ==&lt;br /&gt;
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== Comments ==&lt;/div&gt;</summary>
		<author><name>CoSS</name></author>
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