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	<title>2023Zhao Review - Revision history</title>
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	<updated>2026-05-24T20:20:48Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://3demmethods.i2pc.es/index.php?title=2023Zhao_Review&amp;diff=4524&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Zhao, Cuicui / Lu, Da / Zhao, Qian / Ren, Chongjiao / Zhang, Huangtao / Zhai, Jiaqi / Gou, Jiaxin / Zhu, Shilin / Zhang, Yaqi / Gong, Xinqi. Computational meth...&quot;</title>
		<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2023Zhao_Review&amp;diff=4524&amp;oldid=prev"/>
		<updated>2024-01-10T07:51:56Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Zhao, Cuicui / Lu, Da / Zhao, Qian / Ren, Chongjiao / Zhang, Huangtao / Zhai, Jiaqi / Gou, Jiaxin / Zhu, Shilin / Zhang, Yaqi / Gong, Xinqi. Computational meth...&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;
Zhao, Cuicui / Lu, Da / Zhao, Qian / Ren, Chongjiao / Zhang, Huangtao / Zhai, Jiaqi / Gou, Jiaxin / Zhu, Shilin / Zhang, Yaqi / Gong, Xinqi. Computational methods for in situ structural studies with cryogenic electron tomography. 2023. Frontiers in Cellular and Infection Microbiology, Vol. 13, 1135013&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Cryo-electron tomography (cryo-ET) plays a critical role in imaging&lt;br /&gt;
microorganisms in situ in terms of further analyzing the working mechanisms&lt;br /&gt;
of viruses and drug exploitation, among others. A data processing workflow for&lt;br /&gt;
cryo-ET has been developed to reconstruct three-dimensional density maps and&lt;br /&gt;
further build atomic models from a tilt series of two-dimensional projections.&lt;br /&gt;
Low signal-to-noise ratio (SNR) and missing wedge are two major factors that&lt;br /&gt;
make the reconstruction procedure challenging. Because only few near-atomic&lt;br /&gt;
resolution structures have been reconstructed in cryo-ET, there is still much&lt;br /&gt;
room to design new approaches to improve universal reconstruction resolutions.&lt;br /&gt;
This review summarizes classical mathematical models and deep learning&lt;br /&gt;
methods among general reconstruction steps. Moreover, we also discuss&lt;br /&gt;
current limitations and prospects. This review can provide software and&lt;br /&gt;
methods for each step of the entire procedure from tilt series by cryo-ET to&lt;br /&gt;
3D atomic structures. In addition, it can also help more experts in various fields&lt;br /&gt;
comprehend a recent research trend in cryo-ET. Furthermore, we hope that&lt;br /&gt;
more researchers can collaborate in developing computational methods and&lt;br /&gt;
mathematical models for high-resolution three-dimensional structures from&lt;br /&gt;
cryo-ET datasets.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.frontiersin.org/articles/10.3389/fcimb.2023.1135013/full&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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