Source code for cryosparc2.protocols.protocol_cryosparc_global_ctf_refinement

# **************************************************************************
# *
# * Authors: Yunior C. Fonseca Reyna    (cfonseca@cnb.csic.es)
# *
# *
# * Unidad de  Bioinformatica of Centro Nacional de Biotecnologia , CSIC
# *
# * This program is free software; you can redistribute it and/or modify
# * it under the terms of the GNU General Public License as published by
# * the Free Software Foundation; either version 2 of the License, or
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# * This program is distributed in the hope that it will be useful,
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# * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# * GNU General Public License for more details.
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# * You should have received a copy of the GNU General Public License
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# *  All comments concerning this program package may be sent to the
# *  e-mail address 'scipion@cnb.csic.es'
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import os

from pwem import ALIGN_PROJ
import pwem.protocols as pwprot

import pyworkflow.utils as pwutils
from pyworkflow import BETA
from pyworkflow.protocol.params import (PointerParam, FloatParam, IntParam,
                                        LEVEL_ADVANCED, Positive, BooleanParam)

from .protocol_base import ProtCryosparcBase
from ..convert import (defineArgs, convertCs2Star, createItemMatrix,
                       setCryosparcAttributes)
from ..utils import (addComputeSectionParams, cryosparcValidate, gpusValidate,
                     enqueueJob, waitForCryosparc, clearIntermediateResults,
                     copyFiles)
import pwem.emlib.metadata as md


[docs]class ProtCryoSparcGlobalCtfRefinement(ProtCryosparcBase, pwprot.ProtParticles): """ Wrapper protocol for the Cryosparc's per-particle Global CTF refinement. Performs per-exposure-group CTF parameter refinement of higher-order aberrations, against a given 3D reference """ _label = 'global ctf refinement' _devStatus = BETA _className = "ctf_refine_global" def _initialize(self): self._createFilenameTemplates() def _createFilenameTemplates(self): """ Centralize how files are called. """ myDict = { 'input_particles': self._getTmpPath('input_particles.star'), 'out_particles': self._getExtraPath('output_particle.star') } self._updateFilenamesDict(myDict) def _defineParams(self, form): form.addSection(label='Input') form.addParam('inputParticles', PointerParam, pointerClass='SetOfParticles', pointerCondition='hasAlignmentProj', label="Input particles", important=True, help='Provide a set of particles for global ' 'CTF refinement.') form.addParam('inputRefinement', PointerParam, pointerClass='ProtCryoSparcRefine3D', label="Select a Refinement protocol", important=True, help='Provide the refinement protocol that will be used. ' 'If mask_refinement is present, use that, otherwise ' 'use a selected mask. If mask does not present, ' 'the protocol will fail') form.addParam('refMask', PointerParam, pointerClass='VolumeMask', label='Mask to be applied to this map', important=True, allowsNull=True, help="Provide a soft mask. if mask is present, use that, " "otherwise use mask_refine if present, otherwise " "fail") # -----------[Global CTF Refinement]------------------------ form.addSection(label="Global CTF Refinement") form.addParam('crg_num_iters', IntParam, default=1, validators=[Positive], label='Number of iterations', help='Number of times refinement of the various CTF ' 'parameters is done. Using 2 or more iterations ' 'allows changes in one parameter (eg. anisomag) to ' 'affect the estimation of other parameters ' '(eg. tetrafoil).') form.addParam('crg_num_plots', IntParam, default=50, validators=[Positive], label='Num. groups to plot', help='Number of exposure groups to make plots for. ' 'After this many, stop plotting to save time.') form.addParam('crg_plot_binfactor', IntParam, default=1, validators=[Positive], expertLevel=LEVEL_ADVANCED, label='Binning to apply to plots', help='Binning makes it easier to see tilt/trefoil/tetrafoil ' 'etc in the data plots, but does not change the ' 'results') form.addParam('crg_min_res_A', FloatParam, default=10, validators=[Positive], label='Minimum Fit Res (A)', help='The minimum resolution to use during refinement of ' 'image aberrations.') form.addParam('crg_do_tilt', BooleanParam, default=True, label="Fit Tilt", help="Whether to fit beam tilt.") form.addParam('crg_do_trefoil', BooleanParam, default=True, label="Fit Trefoil", help="Whether to fit beam trefoil.") form.addParam('crg_do_spherical', BooleanParam, default=True, label="Fit Spherical Aberration", help="Whether to fit spherical aberration.") form.addParam('crg_do_tetrafoil', BooleanParam, default=True, label="Fit Tetrafoil", help="Whether to fit beam tetrafoil.") # --------------[Compute settings]--------------------------- form.addSection(label="Compute settings") addComputeSectionParams(form, allowMultipleGPUs=False) # --------------------------- INSERT steps functions ----------------------- def _insertAllSteps(self): self._createFilenameTemplates() self._defineParamsName() self._initializeCryosparcProject() self._insertFunctionStep("convertInputStep") self._insertFunctionStep('processStep') self._insertFunctionStep('createOutputStep') # -------------------------- UTILS functions ------------------------------ def _defineParamsName(self): """ Define a list with all protocol parameters names""" self._paramsName = ['crg_num_iters', 'crg_num_plots', 'crg_plot_binfactor', 'crg_min_res_A', 'crg_do_tilt', 'crg_do_trefoil', 'crg_do_spherical', 'crg_do_tetrafoil', 'compute_use_ssd'] self.lane = str(self.getAttributeValue('compute_lane')) def _getInputPostProcessProtocol(self): return self.inputRefinement.get() def _getInputVolume(self): return self._getInputPostProcessProtocol().outputVolume def _getInputMask(self): if self.refMask.get() is not None: return self.refMask.get() else: inputProtocolMask = self._getInputPostProcessProtocol().refMask.get() if inputProtocolMask is not None: return inputProtocolMask return None # --------------------------- STEPS functions ------------------------------
[docs] def processStep(self): self.vol = self.importVolume.get() + '.imported_volume.map' self.mask = self.importMask.get() + '.imported_mask.mask' print(pwutils.yellowStr("Ctf Refinement started..."), flush=True) self.doGlobalCtfRefinement()
[docs] def createOutputStep(self): """ Create the protocol output. Convert cryosparc file to Relion file """ self._initializeUtilsVariables() outputStarFn = self._getFileName('out_particles') csOutputFolder = os.path.join(self.projectPath, self.projectName.get(), self.runGlobalCtfRefinement.get()) csFileName = "particles.cs" # Copy the CS output particles to extra folder copyFiles(csOutputFolder, self._getExtraPath(), files=[csFileName]) csFile = os.path.join(self._getExtraPath(), csFileName) argsList = [csFile, outputStarFn] parser = defineArgs() args = parser.parse_args(argsList) convertCs2Star(args) imgSet = self._getInputParticles() outImgSet = self._createSetOfParticles() outImgSet.copyInfo(imgSet) self._fillDataFromIter(outImgSet) self._defineOutputs(outputParticles=outImgSet) self._defineTransformRelation(imgSet, outImgSet)
def _fillDataFromIter(self, imgSet): outImgsFn = self._getFileName('out_particles') imgSet.setAlignmentProj() imgSet.copyItems(self._getInputParticles(), updateItemCallback=self._createItemMatrix, itemDataIterator=md.iterRows(outImgsFn, sortByLabel=md.RLN_IMAGE_ID)) def _createItemMatrix(self, particle, row): createItemMatrix(particle, row, align=ALIGN_PROJ) setCryosparcAttributes(particle, row, md.RLN_PARTICLE_RANDOM_SUBSET) # --------------------------- INFO functions ------------------------------- def _validate(self): """ Should be overwritten in subclasses to return summary message for NORMAL EXECUTION. """ validateMsgs = cryosparcValidate() if not validateMsgs: validateMsgs = gpusValidate(self.getGpuList(), checkSingleGPU=True) if not validateMsgs: self._validateDim(self._getInputParticles(), self._getInputVolume(), validateMsgs, 'Input particles', 'Input volume') return validateMsgs def _summary(self): summary = [] if not hasattr(self, 'outputParticles'): summary.append("Output Particles not ready yet.") else: summary.append("Input Particles: %s" % self.getObjectTag('inputParticles')) summary.append("Reference Mask: %s" % self.getObjectTag('refMask')) summary.append("Number of Iterations: %s" % self.crg_num_iters.get()) summary.append("--------------------------------------------------") summary.append("Output particles %s" % self.getObjectTag('outputParticles')) return summary
[docs] def doGlobalCtfRefinement(self): """ :return: """ input_group_conect = {"particles": str(self.par), "volume": str(self.vol), "mask": str(self.mask)} # {'particles' : 'JXX.imported_particles' } params = {} for paramName in self._paramsName: params[str(paramName)] = str(self.getAttributeValue(paramName)) # Determinate the GPUs to use (in dependence of # the cryosparc version) try: gpusToUse = self.getGpuList() except Exception: gpusToUse = False self.runGlobalCtfRefinement = enqueueJob(self._className, self.projectName.get(), self.workSpaceName.get(), str(params).replace('\'', '"'), str(input_group_conect).replace('\'', '"'), self.lane, gpusToUse) self.currenJob.set(self.runGlobalCtfRefinement.get()) self._store(self) waitForCryosparc(self.projectName.get(), self.runGlobalCtfRefinement.get(), "An error occurred in the particles subtraction process. " "Please, go to cryosPARC software for more " "details.")