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	<title>2023Zhu CryoSieve - Revision history</title>
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	<updated>2026-06-13T12:18:07Z</updated>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2023Zhu_CryoSieve&amp;diff=4572&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Zhu, Jianying / Zhang, Qi / Zhang, Hui / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. A minority of final stacks yields superior amplitude in single-particle cryo-EM. 2023. Nature Communications, Vol. 14, No. 1, p. 7822  == Abstract ==  Cryogenic electron microscopy (cryo-EM) is widely used to determine nearatomic resolution structures of biological macromolecules. Due to the low signal-to-noise ratio, cryo-EM relies on averaging many images. However, a c...&quot;</title>
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		<updated>2024-07-30T06:01:11Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Zhu, Jianying / Zhang, Qi / Zhang, Hui / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. A minority of final stacks yields superior amplitude in single-particle cryo-EM. 2023. Nature Communications, Vol. 14, No. 1, p. 7822  == Abstract ==  Cryogenic electron microscopy (cryo-EM) is widely used to determine nearatomic resolution structures of biological macromolecules. Due to the low signal-to-noise ratio, cryo-EM relies on averaging many images. However, a c...&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;
Zhu, Jianying / Zhang, Qi / Zhang, Hui / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. A minority of final stacks yields superior amplitude in single-particle cryo-EM. 2023. Nature Communications, Vol. 14, No. 1, p. 7822&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Cryogenic electron microscopy (cryo-EM) is widely used to determine nearatomic&lt;br /&gt;
resolution structures of biological macromolecules. Due to the low&lt;br /&gt;
signal-to-noise ratio, cryo-EM relies on averaging many images. However, a&lt;br /&gt;
crucial question in the field of cryo-EM remains unanswered: how close can we&lt;br /&gt;
get to the minimumnumber of particles required to reach a specific resolution&lt;br /&gt;
in practice? The absence of an answer to this question has impeded progress in&lt;br /&gt;
understanding sample behavior and the performance of sample preparation&lt;br /&gt;
methods. To address this issue, we develop an iterative particle sorting and/or&lt;br /&gt;
sieving method called CryoSieve. Extensive experiments demonstrate that&lt;br /&gt;
CryoSieve outperforms other cryo-EM particle sorting algorithms, revealing&lt;br /&gt;
that most particles are unnecessary in final stacks. The minority of particles&lt;br /&gt;
remaining in the final stacks yield superior high-resolution amplitude in&lt;br /&gt;
reconstructed density maps. For some datasets, the size of the finest subset&lt;br /&gt;
approaches the theoretical limit.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.nature.com/articles/s41467-023-43555-x&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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