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	<id>https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2023Watson_Review</id>
	<title>2023Watson Review - Revision history</title>
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	<updated>2026-05-24T22:01:30Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://3demmethods.i2pc.es/index.php?title=2023Watson_Review&amp;diff=4666&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Watson, Abigail J. I. / Bartesaghi, Alberto. Advances in cryo-ET data processing: meeting the demands of visual proteomics. 2024. Current Opinion in Structural Biology, Vol. 87 p. 102861  == Abstract ==  Cryogenic electron tomography (cryo-ET), a method that enables the viewing of biomolecules in near-native environments at high resolution, is rising in accessibility and applicability. Over the past several years, once slow sample preparation and data col...&quot;</title>
		<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2023Watson_Review&amp;diff=4666&amp;oldid=prev"/>
		<updated>2024-08-12T06:16:19Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Watson, Abigail J. I. / Bartesaghi, Alberto. Advances in cryo-ET data processing: meeting the demands of visual proteomics. 2024. Current Opinion in Structural Biology, Vol. 87 p. 102861  == Abstract ==  Cryogenic electron tomography (cryo-ET), a method that enables the viewing of biomolecules in near-native environments at high resolution, is rising in accessibility and applicability. Over the past several years, once slow sample preparation and data col...&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;
Watson, Abigail J. I. / Bartesaghi, Alberto. Advances in cryo-ET data processing: meeting the demands of visual proteomics. 2024. Current Opinion in Structural Biology, Vol. 87&lt;br /&gt;
p. 102861&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Cryogenic electron tomography (cryo-ET), a method that enables&lt;br /&gt;
the viewing of biomolecules in near-native environments&lt;br /&gt;
at high resolution, is rising in accessibility and applicability.&lt;br /&gt;
Over the past several years, once slow sample preparation&lt;br /&gt;
and data collection procedures have seen innovations which&lt;br /&gt;
enable rapid collection of the large datasets required for&lt;br /&gt;
attaining high resolution structures. Increased data availability&lt;br /&gt;
has provided a driving force for exciting improvements in cryo-&lt;br /&gt;
ET data processing methodologies throughout the entire&lt;br /&gt;
processing pipeline and the development of accessible&lt;br /&gt;
graphical user interfaces (GUIs) that enable individuals inexperienced&lt;br /&gt;
in computational fields to convert raw tilt series into&lt;br /&gt;
3D structures. These advances in data processing are&lt;br /&gt;
enabling cryo-ET to attain higher resolution and extending its&lt;br /&gt;
applicability to more complex samples.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.sciencedirect.com/science/article/pii/S0959440X24000885&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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