At the risk of creating another runaway thread, I have spent some time trying to reconcile what Ian was talking about and what I was talking about. The discussion actually is still relevant to the original posted question about refining against images, so I am continuing it here.

Ian made a good criticism of one of my statements, which I should take back: diffuse scatter does contain information about the disorder in the structure, and this can be measured under favorable conditions. The point I was trying to make, however, is that one is still at the mercy of the lattice transform when looking at diffuse scatter, and the total scattering is the product of the molecular transform and the lattice transform. There is generally no a-priori way to deconvolute the two! And this will make refinement against images difficult.

However, Colin makes a good point that the differences are largely semantic. Unlike crystallographers, crystals, atoms, electrons and photons don't really care what names we call them. They just do whatever it is they do, and the photons make little pops when they hit the detector. That's all we really know.

So, in an effort to clear things up (both in my head and on this thread), I have assembled some simulated diffraction patterns from my nearBragg program here:
http://bl831.als.lbl.gov/~jamesh/diffuse_scatter/

I have included some limited discussion about how the images were made, but the point here is that all these images are generated by simply computing the general scattering equation for a constellation of atoms. I found in an instructive exercise and perhaps other interested parties will as well.

-James Holton
MAD Scientist


Colin Nave wrote:
 Nice overview from Ian - though I think James did make some good points
too.

I thought it might be helpful to categorise the various contributions to
an imperfect diffraction pattern. Categorising things seems to be one of
the English (as distinct from Scottish, Irish or Welsh!) diseases.
1. Those that contribute to the structure of a Bragg reflection
i) Mosaic structure - limited size and mosaic spread
ii) Dislocations, shift and stacking disorders
iii) More macroscopic defects giving "split" spots
iv) Unit cell variations (e.g. due to strain on cooling)
v) Twinning (?)

2. Diffuse scatter
i) Uncorrelated disorder - broad diffuse scatter distributed over image
ii) Disorder correlated between cells - sharper diffuse scatter centred
on Bragg peaks iii) Related to above inelastic scattering - Brillouin scattering,
acoustic scattering, scattering from phonons
iv) Compton scattering (essentially elastic but incoherent)
v) Fluorescence
vi) Disordered material between crystalline "blocks" but within whole
crystal
vii) Scatter from mother liquor
viii) Scatter from sample mount

3. Instrument effects
i) Air scatter
ii)Scatter from apertures, poorly mounted beamstop
iii) Smearing of spot shapes due to badly matched incident beams, poor
detector resolution, too large a rotation range, iv) Detector noise


The trouble with categorisation is that one can (Oh no) i) Have multiple categories for the same thing
ii) Miss out something important
iii) Give impression that categories are distinct when they might merge
in to each other. Categorising seagulls (or any species) is an example,
perhaps categorising protein folds is too. Not sure about categorising
in to English, Scottish etc.

All of these flaws will be in the categories above. Despite this, I
believe it would help structure determination to have an accurate as
possible model of the crystal. This should be coupled with the ability
to determine the parameters of the model from the best possible
recording instrument. Such a set up would enable better estimates of the
intensity of weak Bragg spots in the presence of a high "background".
There may be an additional gain by exploiting information from the
diffuse scatter of the protein.

At present, the normal procedure is to treat the background components
as the same, have some parameter called "mosaicity" and use learned
profiles derived from nearby stronger spots (ignoring the fact that the
intrinsic profiles of a hkl and a 6h 6k 6l reflection will be closely
related). The normal procedure is obviously very good but we don't know
what we are missing!

Any corrections additions to the categories plus other comments welcome

Regards
   Colin


-----Original Message-----
From: CCP4 bulletin board [mailto:ccp...@jiscmail.ac.uk] On Behalf Of Ian Tickle
Sent: 22 January 2010 10:54
To: CCP4BB@JISCMAIL.AC.UK
Subject: Re: [ccp4bb] Refining against images instead of only reflections


 > -----Original Message-----
From: owner-ccp...@jiscmail.ac.uk
[mailto:owner-ccp...@jiscmail.ac.uk] On Behalf Of James Holton
Sent: 21 January 2010 08:39
To: CCP4BB@jiscmail.ac.uk
Subject: Re: [ccp4bb] Refining against images instead of only reflections

It is interesting and relevant here I think that if you measure background-subtracted spot intensities you actually are
measuring the
AVERAGE electron density. Yes, the arithmetic average of
all the unit
cells in the crystal. It does not matter how any of the vibrations are "correlated", it is still just the average (as long as you subtract the background). The diffuse scatter does NOT
tell you about
the deviations from this average; it tells you how the
deviations are
correlated from unit cell to unit cell.
James, as I've pointed out before this is completely inconsistent with both established DS theory and many experiments performed over the years. If you're simulation is producing this result, then the obvious conclusion is that you're not simulating what you claim to be. I don't know of a single experimental result that supports your claim. In order for it to be true the total background (i.e. the sum of the detector noise, air scatter, scattering from the cryobuffer, Compton scattering from the crystal and of course the diffuse scattering itself) would have to be a linear function (or more precisely planar since the detector co-ords are obviously 2-D) of the detector co-ordinates in the region of the Bragg spots, since that is the background model that is used for background subtraction. Whilst it may be true that detector noise and non-crystalline scattering can be accurately modeled by a linear background model (at least in the local region of each Bragg spot), this cannot possibly be generally true of the DS component, and since getting at the DS component is the whole purpose of the experiment, it is crucial that this be modeled accurately. Of course your claim may well be true if there's no DS, but we're talking specifically about cases where there is observable DS (otherwise what's the point of your simulation?). The reason it can't be true that the DS is a linear function is that there's a wealth of simulation work and experimental data that demonstrate that it's not true (not to mention simple manual observation of the images!). The simulations cannot easily be dismissed as unrealistic because in many cases they give an accurate fit to the experimental data.

As an example see here:
http://journals.iucr.org/a/issues/2008/01/00/sc5007/sc5007.pdf .

Looking at the various simulations here (Figs 3 & 5) it's obvious that the DS is very non-linear at the Bragg positions (and more importantly it's also non-linear between the Bragg positions). Note that the simulated calculated patterns here contain no Bragg peaks since as noted in the Figure legends, the average structure (or the average density) has been subtracted in the calculation, i.e. the simulations are showing only the DS component. I fail to see how any kind of background subtraction model could cope with the DS and give the right answer for the Bragg intensity in these kind of cases. Even from the observed patterns it's plain that the DS is non-linear, and therefore a linear background correction couldn't possibly correct the raw integrated intensity for the DS component.

Well-established theory says that the total coherent scattered intensity is proportional to (~=) the time-average of the squared modulus of the structure factor of the crystal:

        I(coherent) ~= <|Fc|^2>

If we make the assumption that the deviations of the contributions to the structure factor from different unit cells are uncorrelated, we can show that the Bragg intensity is the squared modulus of the time and lattice-averaged SF sampled at the reciprocal lattice points:

        I(Bragg)        ~= |<F>|^2

The time/lattice-averaged SF is the FT of the average density, and therefore I(Bragg) indeed corresponds to the average density.

The diffuse intensity is the difference between these:

        I(diffuse)      = I(coherent) - I(Bragg)

                        ~= <|F|^2> - |<F>|^2

The assumption above implies that we're assuming that there's no 'acoustic' component of the DS, since this arises from correlations between different unit cells. However this doesn't mean that there *is* no acoustic component, it simply means that we are ignoring it: for one thing we have no alternative since the acoustic and Bragg scattering are practically inseparable; for another, correlations between different unit cells are purely an artifact of the crystallisation process, so have no biological significance, hence we're usually not interested in them anyway.

The diffuse scatter does NOT tell you about the deviations
from this
average; it tells you how the deviations are correlated
from unit cell
to unit cell.
This is completely wrong, the previous equation can be rewritten as:

        I(diffuse)      = <|F - <F>|^2>

clearly demonstrating that the DS does indeed tell you about the mean-squared deviation of the SF from the average (i.e. the variance of the SF), and therefore the density from its time/lattice average. Note that I(diffuse) must necessarily be positive implying that the measured intensity always overestimates the Bragg intensity; it cannot average out to zero.

If we further assume the usual harmonic model for the atomic displacements, we can show that the DS intensity is related to the covariance (or less correctly the correlation) of the displacements: I suspect this is what you meant. This is all nicely explained in Michael Wall's doctorate thesis which is available online:

http://lunus.sourceforge.net/Wall-Princeton-1996.pdf .

This also has a nice historical survey of all PX DS results obtained up until 1996.

Cheers

-- Ian


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