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	<title>2016Wang DeepPicker - Revision history</title>
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	<updated>2026-05-24T21:06:32Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://3demmethods.i2pc.es/index.php?title=2016Wang_DeepPicker&amp;diff=3285&amp;oldid=prev</id>
		<title>Tmajtner: Created page with &quot;== Citation == Wang, F., Gong, H., Liu, G., Li, M., Yan, C., Xia, T., ... &amp; Zeng, J. (2016). DeepPicker: A deep learning approach for fully automated particle picking in cryo-...&quot;</title>
		<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2016Wang_DeepPicker&amp;diff=3285&amp;oldid=prev"/>
		<updated>2018-05-10T09:17:11Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation == Wang, F., Gong, H., Liu, G., Li, M., Yan, C., Xia, T., ... &amp;amp; Zeng, J. (2016). DeepPicker: A deep learning approach for fully automated particle picking in cryo-...&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;
Wang, F., Gong, H., Liu, G., Li, M., Yan, C., Xia, T., ... &amp;amp; Zeng, J. (2016). DeepPicker: A deep learning approach for fully automated particle picking in cryo-EM. Journal of structural biology, 195(3), 325-336.&lt;br /&gt;
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== Abstract ==&lt;br /&gt;
Particle picking is a time-consuming step in single-particle analysis and often requires significant interventions from users, which has become a bottleneck for future automated electron cryo-microscopy (cryo-EM). Here we report a deep learning framework, called DeepPicker, to address this problem and fill the current gaps toward a fully automated cryo-EM pipeline. DeepPicker employs a novel cross-molecule training strategy to capture common features of particles from previously-analyzed micrographs, and thus does not require any human intervention during particle picking. Tests on the recently-published cryo-EM data of three complexes have demonstrated that our deep learning based scheme can successfully accomplish the human-level particle picking process and identify a sufficient number of particles that are comparable to those picked manually by human experts. These results indicate that DeepPicker can provide a practically useful tool to significantly reduce the time and manual effort spent in single-particle analysis and thus greatly facilitate high-resolution cryo-EM structure determination. DeepPicker is released as an open-source program, which can be downloaded from https://github.com/nejyeah/DeepPicker-python.&lt;br /&gt;
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== Keywords ==&lt;br /&gt;
Cryo-EMParticle pickingAutomationDeep learning&lt;br /&gt;
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== Links ==&lt;br /&gt;
https://www.sciencedirect.com/science/article/pii/S1047847716301472&lt;br /&gt;
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== Related software ==&lt;br /&gt;
https://github.com/nejyeah/DeepPicker-python&lt;br /&gt;
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== Related methods ==&lt;br /&gt;
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== Comments ==&lt;/div&gt;</summary>
		<author><name>Tmajtner</name></author>
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