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	<title>2025Bhandari Fast - Revision history</title>
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	<updated>2026-06-13T12:37:53Z</updated>
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		<id>https://3demmethods.i2pc.es/index.php?title=2025Bhandari_Fast&amp;diff=4962&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  J. Bhandari, D. Kompaniiets, A. K. Singh, C. Bator, J. Porta, and B. Liu, “Efficient strategies and troubleshooting for single particle cryoEM data collection using EPU,” BMC Methods, vol. 2, no. 1, p. 3, 2025.  == Abstract ==  Background CryoEM has gained popularity due to advancements in both hardware and software, making it possible to visualize biological molecular structures in detail. However, despite its growing use, cryoEM remains a costly tec...&quot;</title>
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		<updated>2025-04-14T10:00:09Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  J. Bhandari, D. Kompaniiets, A. K. Singh, C. Bator, J. Porta, and B. Liu, “Efficient strategies and troubleshooting for single particle cryoEM data collection using EPU,” BMC Methods, vol. 2, no. 1, p. 3, 2025.  == Abstract ==  Background CryoEM has gained popularity due to advancements in both hardware and software, making it possible to visualize biological molecular structures in detail. However, despite its growing use, cryoEM remains a costly tec...&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;
J. Bhandari, D. Kompaniiets, A. K. Singh, C. Bator, J. Porta, and B. Liu, “Efficient strategies and troubleshooting for single particle cryoEM data collection using EPU,” BMC Methods, vol. 2, no. 1, p. 3, 2025.&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Background CryoEM has gained popularity due to advancements in both hardware and software, making it possible&lt;br /&gt;
to visualize biological molecular structures in detail. However, despite its growing use, cryoEM remains a costly&lt;br /&gt;
technique, and limited access to cryo-capable TEMs is slowing research efforts. By refining experimental design&lt;br /&gt;
and streamlining data collection approaches, researchers can significantly boost efficiency and reduce costs, making&lt;br /&gt;
this technique more accessible and impactful.&lt;br /&gt;
Method This work presents a guide to some of the session setup parameters for automated cryoEM data collection&lt;br /&gt;
using Thermo Fisher’s EPU software.&lt;br /&gt;
Results The TIFF and MRC formats were compared, and the Faster acquisition mode was evaluated against the Accurate&lt;br /&gt;
acquisition mode. Acquired TIFF files were significantly smaller than MRC files without any notable loss of resolution&lt;br /&gt;
in the data. By minimizing stage movements, the Faster acquisition mode increases data collection speed,&lt;br /&gt;
while Accurate acquisition provides precise centering on the optical axis. The models generated from all experiments&lt;br /&gt;
exhibit similar resolutions, approximately 2.12 Å. These findings suggest that the Faster mode, coupled with recent&lt;br /&gt;
advancements in hardware and software, can increase data collection speed by nearly 5 times.&lt;br /&gt;
Discussion This guide offers practical insights into optimizing data collection strategies based on the study’s target&lt;br /&gt;
and sample nature. Such optimization ensures the efficient use of resources, leading to reduced costs and time during&lt;br /&gt;
both data collection and processing. Based on our findings, we recommend using the Faster mode with counted&lt;br /&gt;
super-resolution, binning 2, and non-gain normalized TIFF output file format for all strategies outlined below.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://link.springer.com/article/10.1186/s44330-025-00025-8&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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