http://3demmethods.i2pc.es/index.php?title=2009Sorzano_Sensitivity&feed=atom&action=history2009Sorzano Sensitivity - Revision history2024-03-29T08:46:32ZRevision history for this page on the wikiMediaWiki 1.29.1http://3demmethods.i2pc.es/index.php?title=2009Sorzano_Sensitivity&diff=1910&oldid=prevWikiSysop at 09:31, 11 June 20092009-06-11T09:31:47Z<p></p>
<p><b>New page</b></p><div>== Citation ==<br />
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Sorzano, C. O. S.; Otero, A.; Olmos, E. M. & Carazo, J. M. Error analysis in the determination of the electron microscopical contrast transfer function parameters from experimental power spectra BMC Structural Biology, 2009, 9, 18<br />
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== Abstract ==<br />
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Background: The transmission electron microscope is used to acquire structural information of<br />
macromolecular complexes. However, as any other imaging device, it introduces optical<br />
aberrations that must be corrected if high-resolution structural information is to be obtained. The<br />
set of all aberrations are usually modeled in Fourier space by the so-called Contrast Transfer<br />
Function (CTF). Before correcting for the CTF, we must first estimate it from the electron<br />
micrographs. This is usually done by estimating a number of parameters specifying a theoretical<br />
model of the CTF. This estimation is performed by minimizing some error measure between the<br />
theoretical Power Spectrum Density (PSD) and the experimentally observed PSD. The high noise<br />
present in the micrographs, the possible local minima of the error function for estimating the CTF<br />
parameters, and the cross-talking between CTF parameters may cause errors in the estimated CTF<br />
parameters.<br />
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Results: In this paper, we explore the effect of these estimation errors on the theoretical CTF.<br />
For the CTF model proposed in [1] we show which are the most sensitive CTF parameters as well<br />
as the most sensitive background parameters. Moreover, we provide a methodology to reveal the<br />
internal structure of the CTF model (which parameters influence in which parameters) and to<br />
estimate the accuracy of each model parameter. Finally, we explore the effect of the variability in<br />
the detection of the CTF for CTF phase and amplitude correction.<br />
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Conclusion: We show that the estimation errors for the CTF detection methodology proposed<br />
in [1] does not show a significant deterioration of the CTF correction capabilities of subsequent<br />
algorithms. All together, the methodology described in this paper constitutes a powerful tool for<br />
the quantitative analysis of CTF models that can be applied to other models different from the one<br />
analyzed here.<br />
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== Keywords ==<br />
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CTF estimation, error analysis, error sensitivity<br />
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== Links ==<br />
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Article http://www.biomedcentral.com/content/pdf/1472-6807-9-18.pdf<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop