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Hi Philip,
<div class="">pure water ice, alas, does not exhibit Thon rings (at least not significantly). Other buffer constituents may. This makes modeling noise a bit tricky. </div>
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<div class="">Many of the methods in the field start with the assumption that the image consists of a true projection of a macromolecule, convolved with the CTF with added uncorrelated Gaussian noise. That is, noise with a flat power spectrum and no correlation
among nearby pixels. Prior to direct detectors and counting, the background noise power spectrum in typical cryoEM images had an exponential decay, and could with a little processing be "flattened" to produce something more or less like uncorrelated Gaussian
noise. The problem with this assumption, even then, is that CryoEM images actually contain a lot of other stuff, and from the perspective of single particle reconstruction, noise isn't just the scattering off the solvent, it's anything present in the image
which is not a perfect projection of the particle. </div>
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<div class="">This is what led to EMAN2's approach of computing the power spectrum of masked out particles, and masked out regions outside particles to compute an accurate estimate of the SNR of the particles within the images. Whether having this really produces
better reconstructions is a separate question, but making this estimate DOES tell you quite a lot about particle data quality and whether you should expect to be able to achieve high resolution from your data.</div>
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<div class="">I'm attaching some slides from about 10 years ago showing how SSNR estimates assuming a pretty flat background can give completely inaccurate estimates of the actual SSNR of the images. Hope they are reasonably self-explanatory. This compares
the approach of considering noise to be anything in the power spectrum without Thon rings to be noise, with the approach of computing the noise from regions of the image not containing particles.</div>
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<div class=""><a href="https://drive.google.com/file/d/0BxreryX3Fp-ZUVJtTFlYX0lmbzg/view?usp=sharing" class="">https://drive.google.com/file/d/0BxreryX3Fp-ZUVJtTFlYX0lmbzg/view?usp=sharing</a></div>
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Steven Ludtke, Ph.D.</div>
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Professor, Dept of Biochemistry and Mol. Biol. (<a href="http://www.bcm.edu/biochem" class="">www.bcm.edu/biochem</a>)</div>
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Co-Director National Center For Macromolecular Imaging <span class="Apple-converted-space"> </span>(<a href="http://ncmi.bcm.edu" class="">ncmi.bcm.edu</a>)</div>
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Co-Director CIBR Center <span class="Apple-converted-space"> </span>(<a href="http://www.bcm.edu/research/cibr" class="">www.bcm.edu/research/cibr</a>)</div>
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Baylor College of Medicine<span class="Apple-converted-space"> </span> <span class="Apple-converted-space"> </span></div>
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<a href="mailto:sludtke@bcm.edu" class="">sludtke@bcm.edu</a></div>
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