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	<title>2023Chaillet Extensive - Revision history</title>
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	<updated>2026-06-13T12:12:36Z</updated>
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		<id>https://3demmethods.i2pc.es/index.php?title=2023Chaillet_Extensive&amp;diff=4499&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Chaillet, Marten L. / van der Schot, Gijs / Gubins, Ilja / Roet, Sander / Veltkamp, Remco C. / Förster, Friedrich. Extensive angular sampling enables the sens...&quot;</title>
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		<updated>2024-01-04T07:47:45Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Chaillet, Marten L. / van der Schot, Gijs / Gubins, Ilja / Roet, Sander / Veltkamp, Remco C. / Förster, Friedrich. Extensive angular sampling enables the sens...&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;
Chaillet, Marten L. / van der Schot, Gijs / Gubins, Ilja / Roet, Sander / Veltkamp, Remco C. / Förster, Friedrich. Extensive angular sampling enables the sensitive localization of macromolecules in electron tomograms. 2023. Intl. J. of Molecular Sciences, Vol. 24, No. 17, p. 13375 &lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Cryo-electron tomography provides 3D images of macromolecules in their cellular context.&lt;br /&gt;
To detect macromolecules in tomograms, template matching (TM) is often used, which uses 3D&lt;br /&gt;
models that are often reliable for substantial parts of the macromolecules. However, the extent of&lt;br /&gt;
rotational searches in particle detection has not been investigated due to computational limitations.&lt;br /&gt;
Here, we provide a GPU implementation of TM as part of the PyTOM software package, which&lt;br /&gt;
drastically speeds up the orientational search and allows for sampling beyond the Crowther criterion&lt;br /&gt;
within a feasible timeframe. We quantify the improvements in sensitivity and false-discovery rate&lt;br /&gt;
for the examples of ribosome identification and detection. Sampling at the Crowther criterion,&lt;br /&gt;
which was effectively impossible with CPU implementations due to the extensive computation times,&lt;br /&gt;
allows for automated extraction with high sensitivity. Consequently, we also show that an extensive&lt;br /&gt;
angular sample renders 3D TM sensitive to the local alignment of tilt series and damage induced by&lt;br /&gt;
focused ion beam milling. With this new release of PyTOM, we focused on integration with other&lt;br /&gt;
software packages that support more refined subtomogram-averaging workflows. The automated&lt;br /&gt;
classification of ribosomes by TM with appropriate angular sampling on locally corrected tomograms&lt;br /&gt;
has a sufficiently low false-discovery rate, allowing for it to be directly used for high-resolution&lt;br /&gt;
averaging and adequate sensitivity to reveal polysome organization.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.mdpi.com/1422-0067/24/17/13375&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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