https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2009Baxter_NoiseCharacterization 2026-05-24T19:52:04Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2009Baxter_NoiseCharacterization&diff=2309&oldid=prev 2013-04-01T13:40:06Z

<p>CoSS moved page <a href="/index.php?title=2009_Baxter_NoiseCharacterization&amp;action=edit&amp;redlink=1" class="new" title="2009 Baxter NoiseCharacterization (page does not exist)">2009 Baxter NoiseCharacterization</a> to <a href="/index.php/2009Baxter_NoiseCharacterization" title="2009Baxter NoiseCharacterization">2009Baxter NoiseCharacterization</a></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <tr class="diff-title" lang="en"> <td colspan="1" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="1" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:40, 1 April 2013</td> </tr><tr><td colspan="2" class="diff-notice" lang="en"><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

CoSS https://3demmethods.i2pc.es/index.php?title=2009Baxter_NoiseCharacterization&diff=2284&oldid=prev 2013-01-17T18:42:11Z

<p>Created page with &quot;== Citation == Determination of signal-to-noise ratios and spectral SNRs in cryo-EM low-dose imaging of molecules. Baxter WT, Grassucci RA, Gao H, Frank J. J Struct Biol. 200...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Determination of signal-to-noise ratios and spectral SNRs in cryo-EM low-dose imaging of molecules.<br /> Baxter WT, Grassucci RA, Gao H, Frank J.<br /> J Struct Biol. 2009 May;166(2):126-32<br /> <br /> == Abstract ==<br /> <br /> Attempts to develop efficient classification approaches to the problem of heterogeneity in single-particle reconstruction of macromolecules require phantom data with realistic noise models. We have estimated the signal-to-noise ratios and spectral signal-to-noise ratios for three steps in the electron microscopic image formation from data obtained experimentally. An important result is that structural noise, i.e., the irreproducible component of the object prior to image formation, is substantial, and of the same order of magnitude as the reproducible signal. Based on this result, the noise modeling for testing new classification techniques can be improved.<br /> <br /> == Keywords ==<br /> <br /> cryo Electron Microscopy, Noise Characterization<br /> <br /> == Links ==<br /> <br /> http://www.ncbi.nlm.nih.gov/pubmed/19269332<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

Jose Maria Carazo