https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2026Urzhumtsev_ProjDir2026Urzhumtsev ProjDir - Revision history2026-04-05T08:15:38ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2026Urzhumtsev_ProjDir&diff=5157&oldid=prevWikiSysop: Created page with "== Citation == Urzhumtsev, A.G. 2026. Quantifying distributions of cryo-EM projections. Biological Crystallography. 82, 2 (2026). == Abstract == In cryo-electron microscopy, a set of two-dimensional projections collected from different viewing directions may complicate image processing and subsequent model building if the distribution of these views is non-uniform. View distributions are traditionally represented as color-coded two-dimensional diagrams. However, such..."2026-02-17T04:38:34Z<p>Created page with "== Citation == Urzhumtsev, A.G. 2026. Quantifying distributions of cryo-EM projections. Biological Crystallography. 82, 2 (2026). == Abstract == In cryo-electron microscopy, a set of two-dimensional projections collected from different viewing directions may complicate image processing and subsequent model building if the distribution of these views is non-uniform. View distributions are traditionally represented as color-coded two-dimensional diagrams. However, such..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
<br />
Urzhumtsev, A.G. 2026. Quantifying distributions of cryo-EM projections. Biological Crystallography. 82, 2 (2026).<br />
<br />
== Abstract ==<br />
<br />
In cryo-electron microscopy, a set of two-dimensional projections collected from<br />
different viewing directions may complicate image processing and subsequent<br />
model building if the distribution of these views is non-uniform. View distributions<br />
are traditionally represented as color-coded two-dimensional diagrams.<br />
However, such diagrams can introduce distortions and are cumbersome to<br />
manipulate, store and compare across data sets; they do not provide a commonly<br />
accepted quantitative measure of uniformity. In this work, we propose a method<br />
to characterize these angular distributions quantitatively and to represent them<br />
as simple one-dimensional curves rather than two-dimensional colored<br />
diagrams. The suggested measures could be incorporated into databases such as<br />
EMDB to provide a compact, standardized description of the angular distribution<br />
of particle views.<br />
<br />
== Keywords ==<br />
<br />
== Links ==<br />
<br />
https://journals.iucr.org/paper?vo5021<br />
<br />
== Related software ==<br />
<br />
== Related methods ==<br />
<br />
== Comments ==</div>WikiSysop