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	<title>2015Dvornek SubspaceEM - Revision history</title>
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	<updated>2026-06-13T12:39:20Z</updated>
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	<entry>
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		<title>CoSS: Created page with &quot;== Citation ==  Dvornek, N. C.; Sigworth, F. J. &amp; Tagare, H. D. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction. J Struct Biol, 20...&quot;</title>
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		<updated>2015-12-29T09:33:43Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Dvornek, N. C.; Sigworth, F. J. &amp;amp; Tagare, H. D. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction. J Struct Biol, 20...&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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Dvornek, N. C.; Sigworth, F. J. &amp;amp; Tagare, H. D. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction. J Struct Biol, 2015, 190, 200-214&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Single particle reconstruction methods based on the maximum-likelihood principle and the expectation-maximization (E-M) algorithm are popular because of their ability to produce high resolution structures. However, these algorithms are computationally very expensive, requiring a network of computational servers. To overcome this computational bottleneck, we propose a new mathematical framework for accelerating maximum-likelihood reconstructions. The speedup is by orders of magnitude and the proposed algorithm produces similar quality reconstructions compared to the standard maximum-likelihood formulation. Our approach uses subspace approximations of the cryo-electron microscopy (cryo-EM) data and projection images, greatly reducing the number of image transformations and comparisons that are computed. Experiments using simulated and actual cryo-EM data show that speedup in overall execution time compared to traditional maximum-likelihood reconstruction reaches factors of over 300.&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/25839831&lt;br /&gt;
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== Related software ==&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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