https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2015Noble_AppionProtomo 2026-05-24T22:01:20Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2015Noble_AppionProtomo&diff=2762&oldid=prev 2015-12-23T11:51:43Z

<p>Created page with &quot;== Citation == Noble, A. J. &amp; Stagg, S. M. Automated batch fiducial-less tilt-series alignment in Appion using Protomo. J Struct Biol, 2015, 192, 270-278 == Abstract == The...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Noble, A. J. &amp; Stagg, S. M. Automated batch fiducial-less tilt-series alignment in Appion using Protomo. J Struct Biol, 2015, 192, 270-278<br /> <br /> == Abstract ==<br /> <br /> The field of electron tomography has benefited greatly from manual and semi-automated approaches to marker-based tilt-series alignment that have allowed for the structural determination of multitudes of in situ cellular structures as well as macromolecular structures of individual protein complexes. The emergence of complementary metal-oxide semiconductor detectors capable of detecting individual electrons has enabled the collection of low dose, high contrast images, opening the door for reliable correlation-based tilt-series alignment. Here we present a set of automated, correlation-based tilt-series alignment, contrast transfer function (CTF) correction, and reconstruction workflows for use in conjunction with the Appion/Leginon package that are primarily targeted at automating structure determination with cryogenic electron microscopy.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> http://www.ncbi.nlm.nih.gov/pubmed/26455557<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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