Petr,
Looks to me as if the problem is that your spots are very fuzzy, so even though
you can see them the spot-picking algorithms prefer to pick the sharp little
spots which are really noise. What I would do is set your peak-picking
parameters to pick very few spots, e.g. use "Fewer peaks" many times. Then
manually pick the spots you want to use. This is a pain, but you should only
need to do it on one image, and, at least in mosflm, you can save the spots file
and add to it if the first try doesn't produce an indexing.
Marian Szebenyi
MacCHESS
Petr Kolenko wrote:
Dear colleagues,
I am working on one dataset that is hard to process. The data are about
3A of resolution. As we are not able to reproduce the experiment again,
I have to use this one, collected in a dirty way.
The problem starts immediately with finding of spots. I have tried
HKL2000, XDS, D*trek, ipmosflm, imosflm, but none of them gave a good
read-out of the images. All the programs find some spots in wrong
positions and the real spots are not covered. Here is an example:
http://kolda.webz.cz/image-predictions.jpg
The data were collected in-house, Saturn 944++ CCD, and all the
necessary information should be in the header properly. I checked the
distance, other parameters, but the problem is with finding of "correct"
or "real spots" on the image. This should be even header-independent,
should not? All the programs fail (or even crash) in this routine. Does
anyone have any suggestion, please?
Btw, we have several structures in the PDB from this experimental setup.
This is the first problem I have met.
Many thanks for any response.
Petr
--
Petr Kolenko
[email protected]
<mailto:[email protected]>
http://kolda.webz.cz
