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	<title>2011Li GradientFlow - Revision history</title>
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	<updated>2026-05-24T19:47:48Z</updated>
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		<id>https://3demmethods.i2pc.es/index.php?title=2011Li_GradientFlow&amp;diff=2198&amp;oldid=prev</id>
		<title>CoSS: Created page with &quot;== Citation ==  M. Li, G. Xu, C.O.S. Sorzano, F. Sun, C. Bajaj. Single-Particle Reconstruction Using L2-Gradient Flow. J. Structural Biology, 176: 259-267 (2011)  == Abstract ...&quot;</title>
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		<updated>2012-08-02T07:05:51Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  M. Li, G. Xu, C.O.S. Sorzano, F. Sun, C. Bajaj. Single-Particle Reconstruction Using L2-Gradient Flow. J. Structural Biology, 176: 259-267 (2011)  == Abstract ...&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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M. Li, G. Xu, C.O.S. Sorzano, F. Sun, C. Bajaj. Single-Particle Reconstruction Using L2-Gradient Flow. J. Structural Biology, 176: 259-267 (2011)&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
&lt;br /&gt;
In this paper, we present an iterative algorithm for reconstructing a three-dimensional density function from a set of two dimensional electron microscopy images. By minimizing an energy functional consisting of a fidelity term and a regularization term, an L(2)-gradient flow is derived. The flow is integrated by a finite element method in the spatial direction and an explicit Euler scheme in the temporal direction. Our method compares favorably with those of the weighted back projection, Fourier method, algebraic reconstruction technique and simultaneous iterative reconstruction technique.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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3D Reconstruction, Regularization.&lt;br /&gt;
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== Links ==&lt;br /&gt;
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http://www.ncbi.nlm.nih.gov/pubmed/21864687&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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