Difference between revisions of "Gd-Lysozyme"

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(→‎Unit-pixel tile positions)
(→‎Unit-pixel tile positions)
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Looking at one of the log files in ~results/e239/r0027/000/stdout it is clear that nothing integrated and the error message says:  
 
Looking at one of the log files in ~results/e239/r0027/000/stdout it is clear that nothing integrated and the error message says:  
 +
<prev>
 
Too few spots from Spotfinder
 
Too few spots from Spotfinder
 
Too few candidate Bragg spots (0) in image 1
 
Too few candidate Bragg spots (0) in image 1
 
The minimum allowable number of Bragg spots per image is set to 40
 
The minimum allowable number of Bragg spots per image is set to 40
 +
<\prev>
 
this mean we are now in the data Discovery phase where we must determine the appropriate spot finding, indexing and integration parameters.  
 
this mean we are now in the data Discovery phase where we must determine the appropriate spot finding, indexing and integration parameters.  
 
The next steps involve adjusting the configuration file so that we can just look the images and find one that should index.  
 
The next steps involve adjusting the configuration file so that we can just look the images and find one that should index.  

Revision as of 20:34, 23 September 2014

In this tutorial, we assume that we are handed an SFX dataset containing Lysozyme diffraction, but are not told anything else. We will have to go through all the data runs, figure out which one is to be used for dark subtraction, and account for untrusted pixels and detector metrology. At this point, we will be prepared to integrate and merge the data. Finally, we will perform simple molecular replacement and ask whether there is any Gd signal in the anomalous difference Fourier.

Discovery of data collection parameters

Log in to pslogin.slac.stanford.edu, and then to psana. Carry through flags so that X-windows will work 

ssh -YAC $USER@pslogin.slac.stanford.edu
ssh -YAC psana

Go in to the working directory and source the package manager: 

cd ~/myrelease
sit_setup

Create a subdirectory for the 2014 tutorial files if not already done: 

mkdir -p cxi84914

List out the Gd-Lysozyme XTC files (this could take time since there are many images): 

ls /reg/d/psdm/cxi/cxi84914/xtc/e239
ls /reg/d/psdm/cxi/cxi84914/xtc/e240

Notice that there are numerous runs in the directory. Now we will create composite averages for each run. Grab this configuration file: mkdark_Gd-Lysozyme.cfg and put it in your cxi84914 directory. For one run only from each experiment directory: 

cxi.lsf -c ~/myrelease/cxi84914/mkdark_Gd-Lysozyme.cfg \
-o /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/ \
-i /reg/d/psdm/cxi/cxi84914/xtc/e239 -q psanacsq -s -p 8 -x 239 -r 16 -t 0

cxi.lsf -c ~/myrelease/cxi84914/mkdark_Gd-Lysozyme.cfg \
-o /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/ \
-i /reg/d/psdm/cxi/cxi84914/xtc/e240 -q psanacsq -s -p 8 -x 240 -r 16 -t 0

Take note:

  • -c configuration file
  • -o output directory (will be created)
  • -i input files (directory containing the XTC streams)
  • -q which batch queue to use
  • -s funnel all streams for the run into one node (takes longer, but necessary for averaging)
  • -p number of cores to use on the node
  • -x which experiment number
  • -r which run number
  • -t which processing trial (auto increments from 0 if not given)

For all the runs in the Gd-Lysozyme data set 239: 

kinit
aklog
for m in 27 28 29 30 31; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/mkdark_Gd-Lysozyme.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e239 -q psanacsq -s -p 8 -x 239 -r ${m} -t 0; done

For all the runs in the Gd-Lysozyme data set 240: 

kinit
aklog
for m in 1 2 3 4 5 6 7 8 9 10 12 13 14 16 17 18 19 21 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/mkdark_Gd-Lysozyme.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e240 -q psanacsq -s -p 8 -x 240 -r ${m} -t 0; done


bjobs lists all your batch jobs; use this form for more information including other-user load: 

bjobs -w -u all -q psanacsq
bkill [number] # stops unwanted job

Some runs take up to 2 hrs wall time to average. Find the averages, view the max-composites, and list out header information for each experiment separately and create a table of the results: 

ls /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/r*/000/out/*.pickle
cctbx.image_viewer `find /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/r*/000 -name "max*.pickle"`
for m in `find /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/r*/000 -name "max*.pickle"`; 
 do echo $m; cxi.print_pickle $m; echo; done

Let's make a table of the results for experiment 239:

Run Distance Wavelength Diffraction Comments
27 81.0 1.456964 weak powder
28 81.0 1.456955 strong powder
29 81.0 1.4569557 strong powder
30 81.0 1.4569529 dark
31 81.0 1.456949 strong powder

The next Gd-Lysozyme experiment: 

ls /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/r*/000/out/*.pickle
cctbx.image_viewer `find /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/r*/000 -name "max*.pickle"`
for m in `find /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/r*/000 -name "max*.pickle"`; 
 do echo $m; cxi.print_pickle $m; echo; done

Let's make a table of the results for experiment 240:

Run Distance Wavelength Diffraction Comments
1 156.0 1.145418 dark
2 101.0 1.454165 strong powder
3 81.0 1.454175 strong powder
4 81.0 1.454175 strong powder
5 81.0 1.454175 strong powder
6 81.0 1.454176 strong powder
7 81.0 1.454176 strong powder
8 97.735 1.453730 dark
9 171.0 1.4569401 weak powder
10 81.0 1.456952 strong powder
12 81.0 1.45695 weak powder
13 81.0 1.45815 dark
14 81.0 1.456952 strong powder
16 81.0 1.45697 strong powder
17 81.0 1.457426 weak powder
18 81.0 1.467101 very weak powder
19 81.0 1.456950 strong powder
21 81.0 1.456949 strong powder
24 81.0 1.456950 very weak powder
25 81.0 1.456958 strong powder
26 81.0 1.4569358 strong powder
27 81.0 1.4569524 strong powder
28 81.0 1.456964 very weak powder
29 81.0 1.4570738 strong powder saturated spots
30 81.0 1.4569528 strong powder saturated spots
31 81.0 1.4569488 dark
32 81.0 1.456953 strong powder
33 81.0 1.4569476 strong powder
34 81.0 1.4569505 strong powder
35 81.0 1.456966 strong powder
36 81.0 1.456948 strong powder
37 81.0 1.4573264 strong powder
38 81.0 1.4569576 strong powder
39 81.0 1.4569520 strong powder
40 81.0 1.4569505 strong powder

Some conclusions:

  • Run 30 was the dark run for experiment 239. We'll use the average and standard deviation for further processing. Tutorial students can take result from the instructor's directory: 
/reg/d/psdm/cxi/cxi84914/scratch/tmmclark/initial_dark/e239/r0030/000/out/avg-r0030.pickle
/reg/d/psdm/cxi/cxi84914/scratch/tmmclark/initial_dark/e239/r0030/000/out/stddev-r0030.pickle
  • Runs 1, 8, 13 and 31 were dark runs for experiment 240. We will discard runs 1 and 8 since the detector distances are unique and would require separate detector calibration. Either run 13 or 31 will work so we'll use the average and standard deviation of run 31 for further processing of experiment 240. Tutorial students can take result from the instructor's directory: 
/reg/d/psdm/cxi/cxi84914/scratch/tmmclark/initial_dark/e240/r0031/000/out/avg-r0031.pickle
/reg/d/psdm/cxi/cxi84914/scratch/tmmclark/initial_dark/e240/r0031/000/out/stddev-r0031.pickle
  • We are interested in getting the Gd anomalous signal from lysozyme, runs were collected at the far remote for f” at approximately 8500 eV or 1.457 Angstroms. See the X-ray Anomalous Scattering.
  • We'll accept runs 27-29 and 31 ("calibration27") for experiment 239, and in experiment 240 runs 3-7, 10, 11, 14-19, 23-30 and 32-40 ("calibration3"). We'll also discard run 9 of experiment 240 as the diffraction was relatively weak and the unique detector distance would require separate detector calibration.

Prepare to mask out the untrusted pixels

We'll now calculate dark-subtracted averages for experiment 239. 

for m in 27 28 29 31; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/mkavg_e239.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e239/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e239 -q psanacsq -s -p 8 -x 239 -r ${m} -t 0; done

This repeats exactly the same averaging calculations as before, except the dark average from run 30 is subtracted. The dark image to be subtracted (along with its std deviation) is defined in the configuration file mkavg_e239.cfg.

Now we'll figure out which pixels are untrusted, and thus should not be integrated. Three criteria will be used:

  • Hot pixels--on the average-dark the pixel values exceed 1150 (should be fine tuned by inspecting the dark & using trial and error)
  • Hot pixels--on the standard deviation-dark the stddev exceeds 4 and therefore unreliable (also should be fine tuned by trial and error)
  • Cold pixels or shadows--on a maximum-composite data image, inspect values and set a minimum threshold value (we choose 15 here)

For more information on masking parameters see creating a mask image 

cxi.make_mask -v --maxproj_min 15 --avg_max 1150 --stddev_max 4 --output mask_base.pickle \
 /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/r0030/000/out/avg-r0030.pickle \
 /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e239/r0030/000/out/stddev-r0030.pickle \
 /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e239/r0027/000/out/max-r0027.pickle

Inspect the mask: 

cctbx.image_viewer mask_base.pickle show_untrusted=true

Non-bonded pixels are masked and untrusted regions of high and low/negative intensity.

Now We need to repeat the procedure above to calculate dark-subtracted averages for experiment 240. 

for m in 3 4 5 6 7 10 12 14 16 17 18 19 21 23 24 25 26 27 28 29 20 32 33 34 35 36 37 38 39 40; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/mkavg_e240.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e240/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e240 -q psanacsq -s -p 8 -x 240 -r ${m} -t 0; done

This repeats exactly the same averaging calculations as before, except the dark average from run 31 is subtracted. The dark image to be subtracted (along with its std deviation) is defined in the configuration file mkavg_e240.cfg.

Now we'll figure out which pixels are untrusted, and thus should not be integrated. Three criteria will be used:

  • Hot pixels--on the average-dark the pixel values exceed 1250 (should be fine tuned by inspecting the dark & using trial and error)
  • Hot pixels--on the standard deviation-dark the stddev exceeds 4 and therefore unreliable (also should be fine tuned by trial and error)
  • Cold pixels or shadows--on a maximum-composite data image, inspect values and set a minimum threshold value (we choose 14 here)

For more information on masking parameters see creating a mask image 

cxi.make_mask -v --maxproj_min 14 --avg_max 1250 --stddev_max 4 --output mask_base.pickle \
 /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/r0031/000/out/avg-r0031.pickle \
 /reg/d/psdm/cxi/cxi84914/scratch/$USER/initial_dark/e240/r0031/000/out/stddev-r0031.pickle \
 /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e240/r0018/000/out/max-r0018.pickle

Inspect the mask: 

cctbx.image_viewer mask_base.pickle show_untrusted=true

Non-bonded pixels are masked and untrusted regions of high and low/negative intensity.

Correct the detector metrology

Accurate data integration requires highly precise knowledge of pixel positions in laboratory space (metrology). Gaining this knowledge is especially difficult due to the segmented nature of the CSPAD detector, which is tiled into 64 application-specific integrated circuits (ASICs). The 64 ASICs are arranged in quadrants that are approximately 4-fold rotationally symmetric, with 8 sensors per quadrant and 2 ASICs per sensor. The sensors are field-serviceable, and may therefore change from Run to Run.

We thus need to determine positions and rotations for all 64 tiles, ideally down to an accuracy on order of 10 microns. As a general overview, cctbx takes the following steps:

  • Tile placement in physical space is measured by the beamline operators optically using electron microscopy. This is done at the per-sensor level (2 ASICs per sensor). This is already hard-coded; nothing for the user to do.
  • Relative positions of the quadrants are determined coarsely by considering powder rings.
  • Sensor positions are refined based on Bragg spot diffraction, allowing for whole-pixel translations in x and y.
  • ASIC positions are refined to subpixel accuracy based on Bragg diffraction, allow for sub-pixel translations and rotations.

Quadrant positions

The electron microscopy step above determines only the sensor positions relative to the frames of reference of each quadrant; but not the absolute position of each quadrant in space. At the CXI instrument, the forward detector DS1 has rail-mounted quadrants to allow re-sizing of the central hole. The quadrant placement should be assessed for both the forward and back (DS2) detectors.

For lysozyme we examine one of the strong images (maximum composite). Students may use the instructor's files ($USER=tmmclark). We first determine that our image has a timestamp that identifies it within cctbx as being from run 7 (2013): 

cxi.print_pickle /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e239/r0028/000/out/max-r0028.pickle 
 > Detector format version: CXI 7.1
cxi.detector_format_versions
cxi.detector_format_versions "CXI 7.1"
cxi.view /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e239/r0028/000/out/max-r0028.pickle \
 distl.detector_format_version="CXI 7.1" viewer.calibrate_unitcell.d_min=10 \
 viewer.calibrate_unitcell.unitcell=79,79,38,90,90,90 viewer.calibrate_unitcell.spacegroup=P43212

The "Settings" GUI panel shows detector distance as well as the hard-coded quadrant positions corresponding to "CXI 7.1", namely [2, -6, 3, -6, -7, 0, -1, -4]. Tile translations have been zeroed out in the code. The settings can be changed in the panel, or alternately given as a separate command line parameter (distl.quad_translations=2,-6,3,-6,-7,0,-1,-4). The object is to align the powder pattern with the predicted rings (red circles) based on the unit cell parameters. It can be seen that the alignment is not quite perfect.

Since we have well-formed powder rings, we can run the automatic quadrant positioning tool: 

cspad.quadrants /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e239/r0028/000/out/max-r0028.pickle \
 distl.detector_format_version="CXI 7.1"
> The NEW QUAD translations are: [2, -6, 4, -6, -6, 1, 0, -4]

Try a few different max-composites from runs 27, 29 and 31:

The NEW QUAD translations are: [2, -6, 4, -6, -9, 2, 0, -4] (poor self correlation value approx. 0.06 weak powder diffraction for this run)

The NEW QUAD translations are: [3, -4, 5, -6, -6, 1, 0, -4]

The NEW QUAD translations are: [2, -6, 4, -6, -6, 1, 0, -4]

These can be pasted on to the command line for graphical review: 

cxi.view /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e239/r0028/000/out/max-r0028.pickle \
 distl.detector_format_version="CXI 7.1" viewer.calibrate_unitcell.d_min=10 \
 viewer.calibrate_unitcell.unitcell=79,79,38,90,90,90 viewer.calibrate_unitcell.spacegroup=P43212\
 distl.quad_translations=2, -6, 4, -6, -6, 1, 0, -4

This looks slightly better. From the GUI it also appears that distance=81 fits; meaning that the detz_offset for the configuration file of 571 is ok.

Now we need to check e240:

For lysozyme we examine one of the strong images (maximum composite). Students may use the instructor's files ($USER=nksauter). We first determine that our image has a timestamp that identifies it within cctbx as being from run 7 (2013): 

cxi.print_pickle /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e240/r0029/000/out/max-r0029.pickle 
 > Detector format version: CXI 7.1
cxi.detector_format_versions
cxi.detector_format_versions "CXI 7.1"
cxi.view /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e240/r0019/000/out/max-r0029.pickle \
 distl.detector_format_version="CXI 7.1" viewer.calibrate_unitcell.d_min=10 \
 viewer.calibrate_unitcell.unitcell=79,79,38,90,90,90 viewer.calibrate_unitcell.spacegroup=P43212

The "Settings" GUI panel shows detector distance as well as the hard-coded quadrant positions corresponding to "CXI 7.1", namely [2, -6, 3, -6, -7, 0, -1, -4]. Tile translations have been zeroed out in the code. The settings can be changed in the panel, or alternately given as a separate command line parameter (distl.quad_translations=2,-6,3,6,-7,0,-1,-4. The object is to align the powder pattern with the predicted rings (red circles) based on the unit cell parameters. It can be seen that the alignment is not quite perfect.

Since we have well-formed powder rings, we can run the automatic quadrant positioning tool: 

cspad.quadrants /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e240/r0029/000/out/max-r0029.pickle \
 distl.detector_format_version="CXI 7.1"
> The NEW QUAD translations are:  [2, -6, 4, -6, -6, 1, 0, -4]

Try a few different max-composites from runs 3, 7, 17, 27:

The NEW QUAD translations are: [2, -5, 4, -6, -6, 1, 0, -3]

The NEW QUAD translations are: [2, -5, 4, -6, -6, 1, 0, -4]

The NEW QUAD translations are: [19, -6, 3, -6, -11, 11, 1, -1] (very poor self-correlation coefficient around 0.06 run 17 is weak powder and not a good run to use for the metrology)

The NEW QUAD translations are: [3, -4, 4, -6, -6, 1, 0, -4]


These can be pasted on to the command line for graphical review: 

cxi.view /reg/d/psdm/cxi/cxi84914/scratch/$USER/averages/e240/r0029/000/out/max-r0029.pickle \
 distl.detector_format_version="CXI 7.1" viewer.calibrate_unitcell.d_min=10 \
 viewer.calibrate_unitcell.unitcell=79,79,38,90,90,90 viewer.calibrate_unitcell.spacegroup=P43212\
 distl.quad_translations= 2, -6, 4, -6, -6, 1, 0, -4

This looks slightly better. From the GUI it also appears that distance=81 fits; meaning that the detz_offset for the configuration file of 571 is ok.

Unit-pixel tile positions

Now we will index the data to derive model lattices. The configuration file Gd-Lysozyme-27.cfg (for configuration run 27) names our phil parameter file Gd-Lysozyme-t000.phil (t000 means trial 0)]. We'll then compare model and observation, from which we can deduce better metrology. This will be done for both experiments 239 and 240 separately. 

for m in 27 28 29 31; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/Gd-Lysozyme-27.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e239/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e239 -q psanacsq -p 8 -x 239 -r ${m} -t 0; done

bkill 0 # stop all jobs; wrong file path

A quick command to count how many integration files there are: 

for m in `seq 27 31`; \
do echo $m `find /reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e239/r00$m/000/integration \
-name "int*.pickle"|wc -l` ; done; \
find /reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e239/*/000/integration -name "int*.pickle"|wc -l

Looking at one of the log files in ~results/e239/r0027/000/stdout it is clear that nothing integrated and the error message says: <prev> Too few spots from Spotfinder Too few candidate Bragg spots (0) in image 1 The minimum allowable number of Bragg spots per image is set to 40 <\prev> this mean we are now in the data Discovery phase where we must determine the appropriate spot finding, indexing and integration parameters. The next steps involve adjusting the configuration file so that we can just look the images and find one that should index.

Determine whole-pixel translations for all sensors on the CSPAD. 

cspad.metrology data=/reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e239/r*/000/integration \
bravais_setting_id=9 max_frames=1000 min_count=25 \
detector_format_version="CXI 7.1" /reg/neh/home/$USER/myrelease/cxi84914/ \
Gd-Lysozyme-t000.phil | tee Gd-27-t000.unit

List out the new unit translations: 

cat Gd-27-t000.unit |grep -A21 "Unit translations"

Results from three refinement cycles are listed; capture the last one and incorporate it into a new version of the integration phil file, L498-thermolysin-t001.phil. Also in this phil file, for the next integration round we'll increase our integration limits (3 places) to 1.8 Angstroms. After editing the configuration file to use this new phil file, submit the new round of integration jobs.

For the purpose of the tutorial, we'll drop runs 17-20 since they contribute only 1095 lattices compared with >18000 for runs 21-27. Fine-tuning of the metrology for runs 17-20 would have to be performed separately since the detector is at a different distance. 

for m in 21 22 23 24 25 26 27; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/L498-thermolysin-21.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e157/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e157 -q psanacsq -p 8 -x 157 -r ${m} -t 1; done

Another round of metrology refinement, this time using trial 001 as the basis: 

cspad.metrology data=/reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e157/r002[1-7]/001/integration bravais_setting_id=12 max_frames=1000 min_count=25 detector_format_version="CXI 5.1" cxi84914/L498-thermolysin-t001.phil | tee L498-21-t001.unit

…proving we have not yet converged. Take this output and construct trial 002: L498-thermolysin-t002.phil; edit the *.cfg file. Submit another round of integration jobs: 

for m in 21 22 23 24 25 26 27; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/L498-thermolysin-21.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e157/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e157 -q psanacsq -p 8 -x 157 -r ${m} -t 2; done

Evaluate metrology again: 

cspad.metrology data=/reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e157/r002[1-7]/002/integration bravais_setting_id=12 max_frames=1500 min_count=25 detector_format_version="CXI 5.1" cxi84914/L498-thermolysin-t002.phil | tee L498-21-t002.unit

Add sub-pixel corrections

There are negligible changes in the unit-translations (non-zero only at large radius), and the rmsd is now 0.96 pixels. We'll leave the unit-translations exactly where they are now, and add subpixel translations and rotations to the phil file. These are taken from the very end of the log file (L498-21-t002.unit). Incorporate these into L498-thermolysin-t003.phil.

Integrate the data

We're ready for the final integration trial, which will be t003. Again edit the configuration file Gd-thermolysin-27.cfg so that it points to the latest phil file, L498-thermolysin-t003.phil. Submit integration jobs: 

for m in 27 28 29 31; \
 do echo $m; cxi.lsf -c ~/myrelease/cxi84914/L498-thermolysin-27.cfg \
 -o /reg/d/psdm/cxi/cxi84914/scratch/$USER/results/e157/ \
 -i /reg/d/psdm/cxi/cxi84914/xtc/e157 -q psanacsq -p 8 -x 157 -r ${m} -t 3; done

…19980 lattices indexed and integrated. If the second lattice is desired (about 10% of images have two) set indexing.outlier_detection.switch=True in the phil file, and integrate again under a new trial number (-t 4).

Trial 005: Try first-lattice again, correcting an omission of the mask_pixel_value=-2 phil parameter in trial 003.

…19987 lattices indexed and integrated in trial 005.

Merge the data

on pslogin, download the reference structure 2tli from the pdb (must be done on pslogin, the only outward-facing host). 2tli.pdb will be used for per-image scaling; 2tli.mtz will be used for reporting correlation to isomorphous synchrotron data. 

phenix.fetch_pdb --mtz 2tli

back to psana. Get the command file mergethermo.csh. 

mkdir /reg/d/psdm/cxi/cxi84914/scratch/$USER/merge/e157
cd /reg/d/psdm/cxi/cxi84914/scratch/$USER/merge/e157
./mergethermo.csh

Log file

Better log file from trial 005--using untrusted pixel mask

Solve the structure

Some quick commands to evaluate the data. Here the result *.mtz files must be moved back to your $HOME directory and transferred to your laptop to run PHENIX: 

cp /reg/d/psdm/cxi/cxi84914/scratch/$USER/merge/e157/thermoanom_2tli_s0_mark0.mtz $HOME
cp /reg/d/psdm/cxi/cxi84914/scratch/$USER/merge/e157/thermonoanom_2tli_s0_mark0.mtz $HOME

Always use the "s0" files; "s1" and "s2" are the semi-datasets used only to calculate CC1/2. 

phenix.fetch_pdb --mtz 2tli
phenix.xtriage thermonoanom_2tli_s0_mark0.mtz scaling.input.xray_data.obs_labels=Iobs > triage_noanom.log

Wilson B factor:14.8 

phenix.automr 2tli.pdb thermonoanom_2tli_s0_mark0.mtz seq_file=2tli.fa identity=100 copies=1 build=False

The MR-placed model is in ./AutoMR_run_1_/MR.1.pdb.

Obtain the set of R-free-flags used in the Nature Methods paper 

wget http://cci.lbl.gov/publications/download/4ow3_original_iobs_flags.mtz

Refine the model 

phenix.refine ./AutoMR_run_1_/MR.1.pdb refinement.output.prefix=001 \
 xray_data.file_name=thermonoanom_2tli_s0_mark0.mtz \
 xray_data.r_free_flags.file_name=4ow3_original_iobs_flags.mtz \
 xray_data.r_free_flags.label=R-free-flags \
 main.number_of_macro_cycles=6 optimize_xyz_weight=True \
 optimize_adp_weight=True nproc=20 refinement.input.xray_data.labels=IMEAN \
 ordered_solvent=true ordered_solvent.mode=every_macro_cycle

trial 003: RWORK = 23.1% RFREE = 26.5% out to 2.1 Angstrom

trial 005: RWORK = 22.0% RFREE = 26.3% out to 2.1 Angstrom (taking untrusted pixels into account)

Run an ersatz script (provided by Nat Echols) to measure the peak heights of the anomalous scatterers. 

libtbx.python map_height_at_atoms.py \
 001_001.pdb thermoanom_2tli_s0_mark0.mtz \
 input.xray_data.labels=Iobs \
 xray_data.r_free_flags.file_name=4ow3_original_iobs_flags.mtz \
 xray_data.r_free_flags.label=R-free-flags

Promising results for the Zn and one Ca: 

pdb="ZN    ZN A 317 " :   5.97 sigma
pdb="CA    CA A 318 " :   0.93 sigma
pdb="CA    CA A 319 " :   2.74 sigma
pdb="CA    CA A 320 " :   1.08 sigma
pdb="CA    CA A 321 " :   0.20 sigma

Better results from trial 005: 

pdb="ZN    ZN A 317 " :   7.66 sigma
pdb="CA    CA A 318 " :   1.10 sigma
pdb="CA    CA A 319 " :   2.52 sigma
pdb="CA    CA A 320 " :   1.40 sigma
pdb="CA    CA A 321 " :   1.01 sigma
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