https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2024Coray_Automated2024Coray Automated - Revision history2026-05-24T22:01:01ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2024Coray_Automated&diff=4709&oldid=prevWikiSysop: Created page with "== Citation == Coray, Raffaele / Navarro, Paula / Scaramuzza, Stefano / Stahlberg, Henning / Castaño-Diez, Daniel, Automated fiducial-based alignment of cryo-electron tomography tilt series in Dynamo, 2024, Structure, Vol. 32, p. 1-12 == Abstract == With the advent of modern technologies for cryo-electron tomography (cryo-ET), high-quality tilt series are more rapidly acquired than processed and analyzed. Thus, a robust and fast-automated alignment for batch processi..."2024-08-20T06:25:56Z<p>Created page with "== Citation == Coray, Raffaele / Navarro, Paula / Scaramuzza, Stefano / Stahlberg, Henning / Castaño-Diez, Daniel, Automated fiducial-based alignment of cryo-electron tomography tilt series in Dynamo, 2024, Structure, Vol. 32, p. 1-12 == Abstract == With the advent of modern technologies for cryo-electron tomography (cryo-ET), high-quality tilt series are more rapidly acquired than processed and analyzed. Thus, a robust and fast-automated alignment for batch processi..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Coray, Raffaele / Navarro, Paula / Scaramuzza, Stefano / Stahlberg, Henning / Castaño-Diez, Daniel, Automated fiducial-based alignment of cryo-electron tomography tilt series in Dynamo, 2024, Structure, Vol. 32, p. 1-12<br />
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== Abstract ==<br />
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With the advent of modern technologies for cryo-electron tomography (cryo-ET), high-quality tilt series are<br />
more rapidly acquired than processed and analyzed. Thus, a robust and fast-automated alignment for batch<br />
processing in cryo-ET is needed. While different software packages have made available several approaches<br />
for automated marker-based alignment of tilt series, manual user intervention remains necessary for many<br />
datasets, thus preventing high-throughput tomography.<br />
We have developed a MATLAB-based framework integrated into the Dynamo software package for automatic<br />
detection of fiducial markers that generates a robust alignment model with minimal input parameters.<br />
This approach allows high-throughput, unsupervised volume reconstruction. This new module extends Dynamo<br />
with a large repertory of tools for tomographic alignment and reconstruction, as well as specific visualization<br />
browsers to rapidly assess the biological relevance of the dataset. Our approach has been successfully<br />
tested on a broad range of datasets that include diverse biological samples and cryo-ET modalities.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.cell.com/structure/fulltext/S0969-2126(24)00241-7<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop