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		<title>WikiSysop: Created page with &quot;== Citation ==  Venkatakrishnan, S.; Juneja, P. &amp;amp; O’Neill, H. Model-based Reconstruction for Single Particle Cryo-Electron Microscopy. 2020 54th Asilomar Conference on S...&quot;</title>
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		<updated>2021-06-16T08:52:36Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Venkatakrishnan, S.; Juneja, P. &amp;amp; O’Neill, H. Model-based Reconstruction for Single Particle Cryo-Electron Microscopy. 2020 54th Asilomar Conference on S...&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;
Venkatakrishnan, S.; Juneja, P. &amp;amp;amp; O’Neill, H. Model-based Reconstruction for Single Particle Cryo-Electron Microscopy. 2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020, 1390-1394 &lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Single particle cryo-electron microscopy is a vital&lt;br /&gt;
tool for 3D characterization of protein structures. A typical&lt;br /&gt;
workflow involves acquiring projection images of a collection of&lt;br /&gt;
randomly oriented particles, picking and classifying individual&lt;br /&gt;
particle projections by orientation, and finally using the individual particle projections to reconstruct a 3D map of the electron&lt;br /&gt;
density profile. The reconstruction is challenging because of the&lt;br /&gt;
low signal-to-noise ratio of the data, the unknown orientation of&lt;br /&gt;
the particles, and the sparsity of data especially when dealing&lt;br /&gt;
with flexible proteins where there may not be sufficient data&lt;br /&gt;
corresponding to each class to obtain an accurate reconstruction&lt;br /&gt;
using standard algorithms. In this paper we present a model based image reconstruction technique that uses a regularized&lt;br /&gt;
cost function to reconstruct the 3D density map by assuming&lt;br /&gt;
known orientations for the particles. Our method casts the&lt;br /&gt;
reconstruction as minimizing a cost function involving a novel&lt;br /&gt;
forward model term that accounts for the contrast transfer&lt;br /&gt;
function of the microscope, the orientation of the particles and the&lt;br /&gt;
center of rotation offsets. We combine the forward model term&lt;br /&gt;
with a regularizer that enforces desirable properties in the volume&lt;br /&gt;
to be reconstructed. Using simulated data, we demonstrate how&lt;br /&gt;
our method can significantly improve upon the typically used&lt;br /&gt;
approach.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9443387&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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