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	<title>2025Schafer CryoSift - Revision history</title>
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	<updated>2026-08-23T20:45:52Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2025Schafer_CryoSift&amp;diff=5269&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Schäfer, J.-H., Calza, A., Hom, K., Damodar, P., Peng, R., Bogdanović, N., Lander, G.C., Stagg, S.M. and Cianfrocco, M.A. 2025. CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection. Acta Crystallographica Sec. F. 81, 12 (2025), 517–526.  == Abstract ==  Single-particle cryo-electron microscopy (cryo-EM) has become an essential tool in structural biology. However, automating repetitive tasks remains an ongoing challenge...&quot;</title>
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		<updated>2026-08-21T05:37:36Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Schäfer, J.-H., Calza, A., Hom, K., Damodar, P., Peng, R., Bogdanović, N., Lander, G.C., Stagg, S.M. and Cianfrocco, M.A. 2025. CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection. Acta Crystallographica Sec. F. 81, 12 (2025), 517–526.  == Abstract ==  Single-particle cryo-electron microscopy (cryo-EM) has become an essential tool in structural biology. However, automating repetitive tasks remains an ongoing challenge...&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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Schäfer, J.-H., Calza, A., Hom, K., Damodar, P., Peng, R., Bogdanović, N., Lander, G.C., Stagg, S.M. and Cianfrocco, M.A. 2025. CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection. Acta Crystallographica Sec. F. 81, 12 (2025), 517–526.&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Single-particle cryo-electron microscopy (cryo-EM) has become an essential tool in structural biology. However, automating repetitive tasks remains an ongoing challenge in cryo-EM data-set processing. Here, we present a platformindependent convolutional neural network (CNN) tool for assessing the quality of 2D averages to enable the automatic selection of suitable particles for highresolution reconstructions, termed CryoSift. We integrate CryoSift into a fully automated processing pipeline using the existing cryosparc-tools library. Our integrated and customizable 2D assessment workflow enables high-throughput processing that accommodates experienced to novice cryo-EM users.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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https://journals.iucr.org/f/issues/2025/12/00/ih5009/index.html&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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