Walkthrough on command line based tilt series alignment
This is the command line based version of the GUI based alignment walkthrough
- 1 Create the workflow
- 2 Entering the data
- 3 Running the workflow
- 4 On the fly reconstruction of particles
Create the workflow
name = 'hivCommandLine'; folder = 'workflows'; u = dtsa(name,'--nogui','-path',folder,'fp',1);
Here, we instruct Dynamo to skip opening the GUI. We also create the workflow in a different folder.
Entering the data
The u object contains several areas to interact with the workflow. They can be found by autocompletion using the tab key. Here, we will proceed step by step; remember that you can write all the command lines in a single .m script.
The file of the tilt series can be defined somewhere else
file = '/~/data/b001ts001.mrc'; and then linked into the workflow:
If you want to reject some of the hight tilts (or any other view that appears to have been damages,)
Here you can enter Cs, nominal defocus, etc... We will just provide the pixel size in Angstroms:
We enable the use of parallel cores
This will be using mainly for gold bead detection (cc computation) and reconstruction.
To ask Dynamo to use all available physical cores, use the '*' symbol. u.enter.settingComputing.cpus('*');
These here are the actual design decisions when running an alignment workflow. The gold bead radius should have been measured beforehand:
The bin level is mainly used to accelerate the detection procedure. Needs to be chosen in a way that a binned gold bead still can be recognisable as such, with a radius of at least 4 pixels.
Changing generic parameters
Yo can find handles to the parameters of the individuals steps through autocompletion on the area, then step items.
Running the workflow
We will skip CTF estimation and correction steps (both in the CTF area):
If should take around five minutes to run.
Checking the results
After completion, the view field allows you to check different output items for diagnose, as the tilt lines
or the reconstructions and aligned stacks themselves. You can also use the autocompletion of the info field in order to read the logs on the fit
>> u.info.fit --------- File with info: workflows/workshop2.AWF/info/fitting.doc - - - - - -= rms: 1.39 psi: 85.10 fit modus: normal total markers: 78 total observations: 2590 fit created at: 27-Aug-2019 18:01:40 --------
or of the markers
>> u.info.markers; ------------------------------------------------------------ Info on working markers [used during detection, indexing refinement] ... item saved and in memory Item in memory: Number of shapes : 78 Number of frames : 40 Number of observations : 2590 (out of 3120) Number of empty frames : 2 Number of complete frames : 0 Number of complete shapes : 0 Item in disk: Markers in disk and currently in memory contain equal coordinates - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Info on final markers [used from alignment step] ... item saved and in memory Item in memory: Number of shapes : 78 Number of frames : 40 Number of observations : 2590 (out of 3120) Number of empty frames : 2 Number of complete frames : 0 Number of complete shapes : 0 Item in disk: Markers in disk and currently in memory contain equal coordinates ------------------------------------------------------------
On the fly reconstruction of particles
In this section of the a, we show how to avoid reconstructing full tomograms of full resolution if only a set of subtomograms need to be reconstructed at high resolution. We will use the gold beads as proxies for particles of interest. We will thus locate a bunch of them in the binned tomogram, and then use their coordinates in that tomogram to directly reconstruct them in full resolution from the full resolution stack.
Grep coordinates in the binned tomogram
Open the binned reconstruction with dtmslice dtmslice 'workflows/hivCommandLine.AWF/reconstruction/binnedReconstructionWBP.mrc';
Now we can save the table as a file: write(temp_table,'binnedGoldbeads.tbl');
Cropping the gold bead particles
tomo = 'workflows/workshop.AWF/reconstruction/binnedReconstructionWBP.mrc';
tbl = 'binnedGoldbeads.tbl';
targetBinnedParticles = 'binnedGoldBeads.Data';
sidelength = 32;
o = dtcrop(tomo,tbl,target,sidelength);
And then we visualise a projection along z of each cropped particle
Reconstruct particles on the fly
The command that reconstructs full sized particles from an aligned stack is dynama_table_trec. This is an independent function, not part of the workflow, implying that we will need to perform some format conversion.
tbl = dread('binnedGoldbeads.tbl');
We scale the table
alignmentBinLevel = 2;
tblFull = dynamo_table_rescale(tbl,'factor',2^alignmentBinLevel);
source = 'workflows/hivCommandLine AWF/align/alignedFullStack.mrc';
We create a data folder to contain the particles reconstructed on the fly.
targetDirectory = 'tempCrop.Data';
Angles actually used during the reconstruction are contained in the reconstructionTiltAngles' item of the output folder. Note that they might differ from the nominal angles, as some views might have been eliminated, both explicitely by the user, of by the program not being able to align all tilts.
angles = 'workflows/hivCommandLine.AWF/align/reconstructionTiltAngles.tlt';
The (binned) coordinates were measured in a binned tomogram, whose dimensionality is requested by dynamo_table_rec. We need to provide dynamo_table_rec with visualizationTomogram = 'workflows/ hivCommandLine.AWF/reconstruction/binnedReconstructionWBP.mrc'; sizeTomogram = dynamo_read_size(visualizationTomogram); sizeTomogramFull = sizeTomogram*2^alignmentBinLevel;
The tomogram center can be shifted in order to account for a possible shift in the centre in the binned reconstruction that was used to crop the particles.
shiftTomogramCenter = [0,0,0];
We proceed now to the reconstruction.
sidelengthFullSize = 128;
'applyRampFilter',1,.... 'sizeTomogram',sizeTomogramFull,.... 'shiftTomogramCenter',shiftTomogramCenter);
We can now check that the particles have been reconstructed in full size.