Dear Colin Great that you mention the Rose equation and its consequences for cryo-EM! I have actually written a paper on that topic some 40 years ago [Marin van Heel: Detection of object in quantum-noise limited images. Ultramicroscopy 8 (1982) 331-342]. I honestly have not thought about it for a long time but I have recently been thinking about revisiting the topic. It remains one of the very first particle-picking papers ever, and certainly still one of the very best (and reference free) ones [Afanasyev 2017].
I remember I was very pleased when I realised one could calculate local variances rapidly using fast convolutions! I remember the very moment in December 1979, while visiting my parents in their house in Spain and catching a bit of winter sunshine, leaning against the wall of their house with my eyes half closed, that the “Aha-Erlebnis” struck. Thank you for reminding me to go back to that issue! Cheers Marin On Mon, Feb 17, 2020 at 2:36 PM colin.n...@diamond.ac.uk < colin.n...@diamond.ac.uk> wrote: > > > Dear Marin > > For electron microscopy, the Rose criterion (a measure of contrast/noise) > is sometime used to distinguish low contrast features within polymers (see > for example Libera, M. & Egerton, R. (2010). *Polymer Reviews*. *50*, > 321-339.). A particular value of the Rose criterion implies a particular > information content. > > I think this can be directly related to a particular threshold for FSC or > FRC. If you can comment on this in your *Why-o-Why didactical crusade, I > might even register for a twitter account!* > > *Regards* > > *Colin* > > > > *From:* CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> *On Behalf Of *Marin > van Heel > *Sent:* 17 February 2020 13:29 > *To:* CCP4BB@JISCMAIL.AC.UK > *Subject:* Re: [ccp4bb] [3dem] Which resolution? > > > > > > > > Dear Petrus Zwart (and all other X-ray crystallographers and EM-ers) > > > > Resolution in the sense of the Abbe Diffraction Limit or the Rayleigh > *Criterion > are part of what we would now call the theory of linear systems, and are > described by a “transfer function”. “Fourier Optics” covers the theory of > linear systems in Optics. These two (essentially identical) resolution > criteria state that the smallest details (let us call that “A(r)” for > “Airy”) you can possible observe in real-space is inversely proportional to > the size of the maximum aperture in Fourier space, i.e., the extent of the > transfer function in Fourier space “T(f)”. This defines what “Instrumental > Resolution” one could possibly achieve in an experiment, “instrumental” to > differentiate it from the “Results Resolution” you actually managed achieve > in your data collection/processing experiment [#Why-o-Why #10]. What a > linear imaging system will do the image of the object (under the best of > circumstances) is described by a (Fourier-space) multiplication of the > Fourier transform of the object O(r) [= O(f)] with the (Fourier-space) > transfer function T(f) of the instrument, yielding O’(f), which you need to > transfer back to real space to obtain the exit wave in the image plane; > that is: {O’(f)=T(f)·O(f)}. * > > > > *Note, however, that the properties of the sample, that is, of O(r), does > nowhere appear in the transfer function T(f) or in its real-space version > A(r)! The very concept of (instrumental) resolution is exactly that it > does NOT depend on the object O(r)! The “results resolution” [#Why-o-Why > #10], on the other hand, obviously depends on the sample; the illumination; > on the radiation dose; the pH of the solvent; the air humidity; and the > mood of the person doing the work on the day of preparation… * > > > > *The FRC/FSC “results resolution” measures we introduced in 1982/1986, fit > perfectly in the abstract framework of linear systems and Fourier optics. > The X-ray metrics like R-factor and phase-residuals and FOMs do NOT fit > into that clean mathematical framework. Unfortunately, my EM colleagues > started using X-ray metrics like “Differential Phase Residual” and “FOMs” > in EM based on some gut feeling that the X-ray scientists know it better > because they achieve a higher resolution than us EM blobologists. How wrong > my EM colleagues were: the quality of the resolution metric is totally > unrelated to the numerical resolution levels we operate at! Seeing 3mm > kidney stones in a patient’s tomogram can be equally important as seeing *some > hydrogen bond length in a cryo-EM density. The FRC/FSC actually make more > sense than the indirect and hybrid X-ray ones. *This misconception has > introduced a very tainted – and still ongoing – discussion in cryo-EM. Now > that the fields of X-ray crystallography and cryo-EM are merging it is time > to get things right! * > > > > *I guess I cannot yet terminate my #Why-o-Why didactical crusade: I will > need at least one more on just this linear-transfer theory issue alone…* > > > > *Marin van Heel, CNPEM/LNNano, Campinas, Brazil * > > > > > > On Sun, Feb 16, 2020 at 6:51 PM Petrus Zwart <phzw...@lbl.gov> wrote: > > Hi All, > > > > How is the 'correct' resolution estimation related to the estimated error > on some observed hydrogen bond length of interest, or an error on the > estimated occupancy of a ligand or conformation or anything else that has > structural significance? > > > > In crystallography, it isn't really (only in some very approximate > fashion), and I doubt that in EM there is something to that effect. If you > want to use the resolution to get a gut feeling on how your maps look and > how your data behaves, it doesn't really matter what standard you use, as > long as you are consistent in the use of the metric you use. If you want to > use this estimate to get to uncertainties of model parameters, you better > try something else. > > > > Regards > > Peter Zwart > > > > > > > > On Sun, Feb 16, 2020 at 8:38 AM Marin van Heel < > 0000057a89ab08a1-dmarc-requ...@jiscmail.ac.uk> wrote: > > Dear Pawel and All others .... > > This 2010 review is - unfortunately - largely based on the flawed > statistics I mentioned before, namely on the a priori assumption that the > inner product of a signal vector and a noise vector are ZERO (an > orthogonality assumption). The (Frank & Al-Ali 1975) paper we have refuted > on a number of occasions (for example in 2005, and most recently in our > BioRxiv paper) but you still take that as the correct relation between SNR > and FRC (and you never cite the criticism...). > > Sorry > > Marin > > > > On Thu, Feb 13, 2020 at 10:42 AM Penczek, Pawel A < > pawel.a.penc...@uth.tmc.edu> wrote: > > Dear Teige, > > > > I am wondering whether you are familiar with > Resolution measures in molecular electron microscopy. > > Penczek PA. Methods Enzymol. 2010. > Citation > > Methods Enzymol. 2010;482:73-100. doi: 10.1016/S0076-6879(10)82003-8. > > > > You will find there answers to all questions you asked and much more. > > > > Regards, > > Pawel Penczek > > > > Regards, > > Pawel > > _______________________________________________ > 3dem mailing list > 3...@ncmir.ucsd.edu > https://mail.ncmir.ucsd.edu/mailman/listinfo/3dem > > > ------------------------------ > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCP4BB&A=1 > > > > > -- > > ------------------------------------------------------------------------ > P.H. 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