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	<title>2018Anoshina Simulation - Revision history</title>
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	<updated>2026-05-24T20:15:36Z</updated>
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	<entry>
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		<title>WikiSysop: Created page with &quot;== Citation ==  Anoshina, N.; Sagindykov, T. &amp; Sorokin, D. A Method for Generation of Synthetic 2D and 3D Cryo-EM Images. Programming and Computer Software, Springer, 2018, 44...&quot;</title>
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		<updated>2019-04-17T17:12:46Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Anoshina, N.; Sagindykov, T. &amp;amp; Sorokin, D. A Method for Generation of Synthetic 2D and 3D Cryo-EM Images. Programming and Computer Software, Springer, 2018, 44...&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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Anoshina, N.; Sagindykov, T. &amp;amp; Sorokin, D. A Method for Generation of Synthetic 2D and 3D Cryo-EM Images. Programming and Computer Software, Springer, 2018, 44, 240-247&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Cryo-electron microscopy (cryo-EM) is widely used in structural biology for resolving 3D models of particles with Angstrom resolution. The most popular techniques for such high-resolution model reconstruction are single-particle cryo-EM and cryo-electron tomography (cryo-ET). The cornerstone of both techniques is the registration of images: 2D images in cryo-EM and 3D images in cryo-ET. There are several registration methods for 2D and 3D cryo-EM images; however, it is hard to evaluate these methods due to the lack of ground truth for real data. Moreover, evaluation of image registration methods on real data is complicated by a high level of noise. In this paper, we propose image synthesis methods for generating realistic 2D single-particle cryo-EM images and 3D cryo-ET subtomogram images. The proposed algorithms model the artifacts typical of the real EM image acquisition pipeline: EM-specific noise, missing wedge effect, 2D projection, and contrast transfer function. We also present some examples of the 2D and 3D synthetic images generated.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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https://link.springer.com/article/10.1134/S0361768818040023&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>WikiSysop</name></author>
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