def _createSubSetFromMicrographsTiltPair(self, micrographsTiltPair):
""" Create a subset of Micrographs Tilt Pair. """
output = MicrographsTiltPair(filename=self._getPath('micrographs_pairs.sqlite'))
print "self._dbName=%s" % self._dbName
modifiedSet = MicrographsTiltPair(filename=self._dbName, prefix=self._dbPrefix)
inputU = micrographsTiltPair.getUntilted()
inputT = micrographsTiltPair.getTilted()
outputU = SetOfMicrographs(filename=self._getPath('mics_untilted.sqlite'))
outputT = SetOfParticles(filename=self._getPath('mics_tilted.sqlite'))
outputU.copyInfo(inputU)
outputT.copyInfo(inputT)
for micPairI in modifiedSet:
untilted = micPairI.getUntilted()
tilted = micPairI.getTilted()
if micPairI.isEnabled():
micPairO = TiltPair()
micPairO.setUntilted(untilted)
micPairO.setTilted(tilted)
output.append(micPairO)
outputU.append(untilted)
outputT.append(tilted)
output.setUntilted(outputU)
output.setTilted(outputT)
# Register outputs
outputDict = {'outputMicrographsTiltPair': output}
self._defineOutputs(**outputDict)
self._defineTransformRelation(micrographsTiltPair, output)
return output
def _createSubSetFromMicrographsTiltPair(self, micrographsTiltPair):
""" Create a subset of Micrographs Tilt Pair. """
output = MicrographsTiltPair(
filename=self._getPath('micrographs_pairs.sqlite'))
modifiedSet = MicrographsTiltPair(filename=self._dbName,
prefix=self._dbPrefix)
inputU = micrographsTiltPair.getUntilted()
inputT = micrographsTiltPair.getTilted()
outputU = SetOfMicrographs(
filename=self._getPath('mics_untilted.sqlite'))
outputT = SetOfParticles(filename=self._getPath('mics_tilted.sqlite'))
outputU.copyInfo(inputU)
outputT.copyInfo(inputT)
for micPairI in modifiedSet:
untilted = micPairI.getUntilted()
tilted = micPairI.getTilted()
if micPairI.isEnabled():
micPairO = TiltPair()
micPairO.setUntilted(untilted)
micPairO.setTilted(tilted)
output.append(micPairO)
outputU.append(untilted)
outputT.append(tilted)
output.setUntilted(outputU)
output.setTilted(outputT)
# Register outputs
outputDict = {'outputMicrographsTiltPair': output}
self._defineOutputs(**outputDict)
self._defineTransformRelation(micrographsTiltPair, output)
return output
def writeCtfStarStep(self):
inputCTF = self.inputCTF.get()
if self.micrographSource == 0: # same as CTF estimation
ctfMicSet = inputCTF.getMicrographs()
else:
ctfMicSet = self.inputMicrographs.get()
micSet = SetOfMicrographs(filename=':memory:')
psd = inputCTF.getFirstItem().getPsdFile()
hasPsd = psd and os.path.exists(psd)
if hasPsd:
psdPath = self._getPath('PSD')
pwutils.makePath(psdPath)
print "Writing PSD files to %s" % psdPath
for ctf in inputCTF:
# Get the corresponding micrograph
mic = ctfMicSet[ctf.getObjId()]
if mic is None:
print("Skipping CTF id: %s, it is missing from input "
"micrographs. " % ctf.getObjId())
continue
micFn = mic.getFileName()
if not os.path.exists(micFn):
print "Skipping micrograph %s, it does not exists. " % micFn
continue
mic2 = mic.clone()
mic2.setCTF(ctf)
if hasPsd:
psdFile = ctf.getPsdFile()
newPsdFile = join(psdPath, '%s_psd.mrc' % mic.getMicName())
if not os.path.exists(psdFile):
print "PSD file %s does not exits" % psdFile
print "Skipping micrograph %s" % micFn
continue
pwutils.copyFile(psdFile, newPsdFile)
ctf.setPsdFile(newPsdFile)
micSet.append(mic2)
starFile = self._getPath(self.CTF_STAR_FILE % self.getObjId())
print "Writing set: %s" % inputCTF
print " to: %s" % starFile
acq = ctfMicSet.getAcquisition()
self.samplingRate = ctfMicSet.getSamplingRate()
mag = acq.getMagnification()
self.detectorPixelSize = 1e-4 * self.samplingRate * mag
writeSetOfMicrographs(micSet, starFile,
preprocessImageRow=self.preprocessMicrograph)
# Let's create a link from the project roots to facilitate the import
# of the star file into a Relion project
pwutils.createLink(starFile, os.path.basename(starFile))
def writeCtfStarStep(self):
inputCTF = self.inputCTF.get()
if self.micrographSource == 0: # same as CTF estimation
ctfMicSet = inputCTF.getMicrographs()
else:
ctfMicSet = self.inputMicrographs.get()
micSet = SetOfMicrographs(filename=':memory:')
psd = inputCTF.getFirstItem().getPsdFile()
hasPsd = psd and os.path.exists(psd)
if hasPsd:
psdPath = self._getPath('PSD')
pwutils.makePath(psdPath)
print "Writing PSD files to %s" % psdPath
for ctf in inputCTF:
# Get the corresponding micrograph
mic = ctfMicSet[ctf.getObjId()]
if mic is None:
print(
"Skipping CTF id: %s, it is missing from input "
"micrographs. " % ctf.getObjId())
continue
micFn = mic.getFileName()
if not os.path.exists(micFn):
print "Skipping micrograph %s, it does not exists. " % micFn
continue
mic2 = mic.clone()
mic2.setCTF(ctf)
if hasPsd:
psdFile = ctf.getPsdFile()
newPsdFile = join(psdPath, '%s_psd.mrc' % mic.getMicName())
if not os.path.exists(psdFile):
print "PSD file %s does not exits" % psdFile
print "Skipping micrograph %s" % micFn
continue
pwutils.copyFile(psdFile, newPsdFile)
ctf.setPsdFile(newPsdFile)
micSet.append(mic2)
starFile = self._getPath(self.CTF_STAR_FILE % self.getObjId())
print "Writing set: %s" % inputCTF
print " to: %s" % starFile
writeSetOfMicrographs(micSet,
starFile,
preprocessImageRow=self.preprocessMicrograph)
# Let's create a link from the project roots to facilitate the import
# of the star file into a Relion project
pwutils.createLink(starFile, os.path.basename(starFile))
def writePosFilesStep(self):
""" Write the pos file for each micrograph in metadata format
(both untilted and tilted). """
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getUntilted(),
scale=self.getBoxScale())
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getTilted(),
scale=self.getBoxScale())
# We need to find the mapping by micName (without ext) between the micrographs in
# the SetOfCoordinates and the Other micrographs
if self._micsOther():
micDict = {}
# create tmp set with all mics from coords set
coordMics = SetOfMicrographs(filename=':memory:')
coordMics.copyInfo(self.inputCoords.getUntilted().getMicrographs())
for micU, micT in izip(
self.inputCoords.getUntilted().getMicrographs(),
self.inputCoords.getTilted().getMicrographs()):
micU.cleanObjId()
micT.cleanObjId()
coordMics.append(micU)
coordMics.append(micT)
for mic in coordMics:
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
micDict[pwutils.removeExt(mic.getMicName())] = micPos
# now match micDict and inputMics
if any(
pwutils.removeExt(mic.getMicName()) in micDict
for mic in self.inputMics):
micKey = lambda mic: pwutils.removeExt(mic.getMicName())
else:
raise Exception(
'Could not match input micrographs and coordinates '
'by micName.')
for mic in self.inputMics: # micrograph from input (other)
mk = micKey(mic)
if mk in micDict:
micPosCoord = micDict[mk]
if exists(micPosCoord):
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
if micPos != micPosCoord:
self.info('Moving %s -> %s' %
(micPosCoord, micPos))
pwutils.moveFile(micPosCoord, micPos)
def writePosFilesStep(self):
""" Write the pos file for each micrograph in metadata format
(both untilted and tilted). """
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getUntilted(),
scale=self.getBoxScale())
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getTilted(),
scale=self.getBoxScale())
# We need to find the mapping by micName (without ext) between the
# micrographs in the SetOfCoordinates and the Other micrographs
if self._micsOther():
micDict = {}
# create tmp set with all mics from coords set
coordMics = SetOfMicrographs(filename=':memory:')
coordMics.copyInfo(self.inputCoords.getUntilted().getMicrographs())
for micU, micT in izip(self.inputCoords.getUntilted().getMicrographs(),
self.inputCoords.getTilted().getMicrographs()):
micU.cleanObjId()
micT.cleanObjId()
coordMics.append(micU)
coordMics.append(micT)
for mic in coordMics:
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
micDict[pwutils.removeExt(mic.getMicName())] = micPos
# now match micDict and inputMics
if any(pwutils.removeExt(mic.getMicName()) in micDict for mic in self.inputMics):
micKey = lambda mic: pwutils.removeExt(mic.getMicName())
else:
raise Exception('Could not match input micrographs and coordinates '
'by micName.')
for mic in self.inputMics: # micrograph from input (other)
mk = micKey(mic)
if mk in micDict:
micPosCoord = micDict[mk]
if exists(micPosCoord):
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
if micPos != micPosCoord:
self.info('Moving %s -> %s' % (micPosCoord, micPos))
pwutils.moveFile(micPosCoord, micPos)
def _createSubSetFromMicrographsTiltPair(self, micrographsTiltPair):
""" Create a subset of Micrographs Tilt Pair. """
output = MicrographsTiltPair(filename=self._getPath('micrographs_pairs.sqlite'))
modifiedSet = MicrographsTiltPair(filename=self._dbName,
prefix=self._dbPrefix)
inputU = micrographsTiltPair.getUntilted()
inputT = micrographsTiltPair.getTilted()
outputU = SetOfMicrographs(filename=self._getPath('mics_untilted.sqlite'))
outputT = SetOfMicrographs(filename=self._getPath('mics_tilted.sqlite'))
outputU.copyInfo(inputU)
outputT.copyInfo(inputT)
for micPair, u, t in izip(modifiedSet, inputU, inputT):
if micPair.isEnabled():
output.append(micPair)
outputU.append(u)
outputT.append(t)
output.setUntilted(outputU)
output.setTilted(outputT)
# Register outputs
outputDict = {'outputMicrographsTiltPair': output}
self._defineOutputs(**outputDict)
self._defineTransformRelation(micrographsTiltPair, output)
return output
def testCtfdiscrepancyWorkflow(self):
# create one micrograph set
fnMicSet = self.proj.getTmpPath("mics.sqlite")
fnMic = self.proj.getTmpPath("mic.mrc")
mic = Micrograph()
mic.setFileName(fnMic)
micSet = SetOfMicrographs(filename=fnMicSet)
# create two CTFsets
fnCTF1 = self.proj.getTmpPath("ctf1.sqlite")
fnCTF2 = self.proj.getTmpPath("ctf2.sqlite")
ctfSet1 = SetOfCTF(filename=fnCTF1)
ctfSet2 = SetOfCTF(filename=fnCTF2)
# create one fake micrographs image
projSize = 32
img = xmipp.Image()
img.setDataType(xmipp.DT_FLOAT)
img.resize(projSize, projSize)
img.write(fnMic)
# fill the sets
for i in range(1, 4):
mic = Micrograph()
mic.setFileName(fnMic)
micSet.append(mic)
defocusU = 1000+10*i
defocusV = 1000+i
defocusAngle = i*10
psdFile = "psd_1%04d" % i
ctf = self._getCTFModel(defocusU,
defocusV,
defocusAngle,
psdFile)
ctf.setMicrograph(mic)
ctfSet1.append(ctf)
defocusU = 1000+20*i
defocusV = 1000+i
defocusAngle = i*20
psdFile = "psd_2%04d" % i
ctf = self._getCTFModel(defocusU,
defocusV,
defocusAngle,
psdFile)
ctf.setMicrograph(mic)
ctfSet2.append(ctf)
ctfSet1.write()
ctfSet2.write()
micSet.write()
# import micrograph set
args = {'importFrom': ProtImportMicrographs.IMPORT_FROM_SCIPION,
'sqliteFile': fnMicSet,
'amplitudConstrast': 0.1,
'sphericalAberration': 2.,
'voltage': 100,
'samplingRate': 2.1
}
protMicImport = self.newProtocol(ProtImportMicrographs, **args)
protMicImport.setObjLabel('import micrographs from sqlite ')
self.launchProtocol(protMicImport)
# import ctfsets
protCTF1 = \
self.newProtocol(ProtImportCTF,
importFrom=ProtImportCTF.IMPORT_FROM_SCIPION,
filesPath=fnCTF1)
protCTF2 = \
self.newProtocol(ProtImportCTF,
importFrom=ProtImportCTF.IMPORT_FROM_SCIPION,
filesPath=fnCTF2)
protCTF1.inputMicrographs.set(protMicImport.outputMicrographs)
protCTF2.inputMicrographs.set(protMicImport.outputMicrographs)
protCTF1.setObjLabel('import ctfs from scipion_1 ')
protCTF2.setObjLabel('import ctfs from scipion_2 ')
self.launchProtocol(protCTF1)
self.launchProtocol(protCTF2)
# launch CTF discrepancy protocol
protCtfDiscrepancy = self.newProtocol(XmippProtCTFDiscrepancy)
protCtfDiscrepancy.inputCTF1.set(protCTF1.outputCTF)
protCtfDiscrepancy.inputCTF2.set(protCTF2.outputCTF)
protCtfDiscrepancy.setObjLabel('ctf discrepancy')
self.launchProtocol(protCtfDiscrepancy)
ctf0 = protCtfDiscrepancy.outputCTF.getFirstItem()
resolution = int(ctf0.getResolution())
defocusU = int(ctf0.getDefocusU())
self.assertEqual(resolution, 2)
self.assertEqual(defocusU, 1010)
class XmippProtExtractParticlesPairs(XmippProtExtractParticles):
"""Protocol to extract particles from a set of tilted pairs coordinates"""
_label = 'extract particle pairs'
def __init__(self, **args):
XmippProtExtractParticles.__init__(self, **args)
self.stepsExecutionMode = STEPS_PARALLEL
# --------------------------- DEFINE param functions --------------------------------------------
def _defineParams(self, form):
form.addSection(label='Input')
form.addParam('inputCoordinatesTiltedPairs',
PointerParam,
important=True,
label="Coordinates tilted pairs",
pointerClass='CoordinatesTiltPair',
help='Select the CoordinatesTiltPairs')
form.addParam(
'downsampleType',
EnumParam,
choices=['same as picking', 'other'],
default=0,
important=True,
label='Micrographs source',
display=EnumParam.DISPLAY_HLIST,
help='By default the particles will be extracted \n'
'from the micrographs used in the picking \n'
'step ( _same as picking_ option ). \n'
'If you select _other_ option, you must provide \n'
'a different set of micrographs to extract from.\n'
'*Note*: In the _other_ case, ensure that provided \n'
'micrographs and coordinates are related \n'
'by micName or by micId. Difference in pixel size will \n'
'be handled automatically.')
form.addParam(
'inputMicrographsTiltedPair',
PointerParam,
pointerClass='MicrographsTiltPair',
condition='downsampleType != 0',
important=True,
label='Input tilt pair micrographs',
help='Select the tilt pair micrographs from which to extract.')
# downFactor should always be 1.0 or greater
geOne = GE(1.0, error='Value should be greater or equal than 1.0')
form.addParam(
'downFactor',
FloatParam,
default=1.0,
validators=[geOne],
label='Downsampling factor',
help='Select a value greater than 1.0 to reduce the size '
'of micrographs before extracting the particles. '
'If 1.0 is used, no downsample is applied. '
'Non-integer downsample factors are possible. ')
form.addParam(
'boxSize',
IntParam,
default=0,
label='Particle box size',
validators=[Positive],
help='In pixels. The box size is the size of the boxed particles, '
'actual particles may be smaller than this. If you do downsampling '
'after extraction, provide final box size here.')
form.addParam(
'doBorders',
BooleanParam,
default=False,
label='Fill pixels outside borders',
help=
'Xmipp by default skips particles whose boxes fall outside of the micrograph borders.'
'Set this option to True if you want those pixels outside the borders to be filled with the closest pixel value available'
)
form.addSection(label='Preprocess')
form.addParam(
'doRemoveDust',
BooleanParam,
default=True,
important=True,
label='Dust removal (Recommended)',
help=
'Sets pixels with unusually large values to random values from a Gaussian '
'with zero-mean and unity-standard deviation.')
form.addParam(
'thresholdDust',
FloatParam,
default=3.5,
condition='doRemoveDust',
expertLevel=LEVEL_ADVANCED,
label='Threshold for dust removal',
help=
'Pixels with a signal higher or lower than this value times the standard '
'deviation of the image will be affected. For cryo, 3.5 is a good value.'
'For high-contrast negative stain, the signal itself may be affected so '
'that a higher value may be preferable.')
form.addParam(
'doInvert',
BooleanParam,
default=None,
label='Invert contrast',
help=
'Invert the contrast if your particles are black over a white background.\n'
'Xmipp, Spider, Relion and Eman require white particles over a black background\n'
'Frealign (up to v9.07) requires black particles over a white background'
)
form.addParam(
'doNormalize',
BooleanParam,
default=True,
label='Normalize (Recommended)',
help=
'It subtract a ramp in the gray values and normalizes so that in the '
'background there is 0 mean and standard deviation 1.')
form.addParam(
'normType',
EnumParam,
choices=['OldXmipp', 'NewXmipp', 'Ramp'],
default=2,
condition='doNormalize',
expertLevel=LEVEL_ADVANCED,
display=EnumParam.DISPLAY_COMBO,
label='Normalization type',
help='OldXmipp (mean(Image)=0, stddev(Image)=1). \n '
'NewXmipp (mean(background)=0, stddev(background)=1) \n '
'Ramp (subtract background+NewXmipp). \n ')
form.addParam(
'backRadius',
IntParam,
default=-1,
condition='doNormalize',
label='Background radius',
expertLevel=LEVEL_ADVANCED,
help=
'Pixels outside this circle are assumed to be noise and their stddev '
'is set to 1. Radius for background circle definition (in pix.). '
'If this value is 0, then half the box size is used.')
form.addParallelSection(threads=4, mpi=1)
def _insertAllSteps(self):
self._setupBasicProperties()
# Write pos files for each micrograph
firstStepId = self._insertFunctionStep('writePosFilesStep')
# For each micrograph insert the steps, run in parallel
deps = []
for mic in self.inputMics:
localDeps = [firstStepId]
fnLast = mic.getFileName()
micName = pwutils.removeBaseExt(mic.getFileName())
def getMicTmp(suffix):
return self._getTmpPath(micName + suffix)
# Create a list with micrographs operations (programs in xmipp) and
# the required command line parameters (except input/ouput files)
micOps = []
# Check if it is required to downsample your micrographs
downFactor = self.downFactor.get()
if self.notOne(downFactor):
fnDownsampled = getMicTmp("_downsampled.xmp")
args = "-i %s -o %s --step %f --method fourier"
micOps.append(('xmipp_transform_downsample',
args % (fnLast, fnDownsampled, downFactor)))
fnLast = fnDownsampled
if self.doRemoveDust:
fnNoDust = getMicTmp("_noDust.xmp")
args = " -i %s -o %s --bad_pixels outliers %f"
micOps.append(('xmipp_transform_filter',
args % (fnLast, fnNoDust, self.thresholdDust)))
fnLast = fnNoDust
# TODO: implement CTF
# Actually extract
deps.append(
self._insertFunctionStep('extractParticlesStep',
mic.getObjId(),
micName,
None,
fnLast,
micOps,
self.doInvert.get(),
self._getNormalizeArgs(),
self.doBorders.get(),
prerequisites=localDeps))
metaDeps = self._insertFunctionStep('createMetadataImageStep',
prerequisites=deps)
# Insert step to create output objects
self._insertFunctionStep('createOutputStep', prerequisites=[metaDeps])
# --------------------------- STEPS functions --------------------------------------------
def writePosFilesStep(self):
""" Write the pos file for each micrograph in metadata format
(both untilted and tilted). """
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getUntilted(),
scale=self.getBoxScale())
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getTilted(),
scale=self.getBoxScale())
# We need to find the mapping by micName (without ext) between the micrographs in
# the SetOfCoordinates and the Other micrographs
if self._micsOther():
micDict = {}
# create tmp set with all mics from coords set
coordMics = SetOfMicrographs(filename=':memory:')
coordMics.copyInfo(self.inputCoords.getUntilted().getMicrographs())
for micU, micT in izip(
self.inputCoords.getUntilted().getMicrographs(),
self.inputCoords.getTilted().getMicrographs()):
micU.cleanObjId()
micT.cleanObjId()
coordMics.append(micU)
coordMics.append(micT)
for mic in coordMics:
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
micDict[pwutils.removeExt(mic.getMicName())] = micPos
# now match micDict and inputMics
if any(
pwutils.removeExt(mic.getMicName()) in micDict
for mic in self.inputMics):
micKey = lambda mic: pwutils.removeExt(mic.getMicName())
else:
raise Exception(
'Could not match input micrographs and coordinates '
'by micName.')
for mic in self.inputMics: # micrograph from input (other)
mk = micKey(mic)
if mk in micDict:
micPosCoord = micDict[mk]
if exists(micPosCoord):
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
if micPos != micPosCoord:
self.info('Moving %s -> %s' %
(micPosCoord, micPos))
pwutils.moveFile(micPosCoord, micPos)
def createMetadataImageStep(self):
mdUntilted = md.MetaData()
mdTilted = md.MetaData()
# for objId in mdPairs:
for uMic, tMic in izip(self.uMics, self.tMics):
umicName = pwutils.removeBaseExt(uMic.getFileName())
fnMicU = self._getExtraPath(umicName + ".xmd")
fnPosU = self._getExtraPath(umicName + ".pos")
# Check if there are picked particles in these micrographs
if pwutils.exists(fnMicU):
mdMicU = md.MetaData(fnMicU)
mdPosU = md.MetaData('particles@%s' % fnPosU)
mdPosU.merge(mdMicU)
mdUntilted.unionAll(mdPosU)
tmicName = pwutils.removeBaseExt(tMic.getFileName())
fnMicT = self._getExtraPath(tmicName + ".xmd")
fnPosT = self._getExtraPath(tmicName + ".pos")
mdMicT = md.MetaData(fnMicT)
mdPosT = md.MetaData('particles@%s' % fnPosT)
mdPosT.merge(mdMicT)
mdTilted.unionAll(mdPosT)
# Write image metadata (check if it is really necessary)
fnTilted = self._getExtraPath("images_tilted.xmd")
fnUntilted = self._getExtraPath("images_untilted.xmd")
mdUntilted.write(fnUntilted)
mdTilted.write(fnTilted)
def createOutputStep(self):
fnTilted = self._getExtraPath("images_tilted.xmd")
fnUntilted = self._getExtraPath("images_untilted.xmd")
# Create outputs SetOfParticles both for tilted and untilted
imgSetU = self._createSetOfParticles(suffix="Untilted")
imgSetU.copyInfo(self.uMics)
imgSetT = self._createSetOfParticles(suffix="Tilted")
imgSetT.copyInfo(self.tMics)
sampling = self.samplingMics if self._micsOther(
) else self.samplingInput
if self._doDownsample():
sampling *= self.downFactor.get()
imgSetU.setSamplingRate(sampling)
imgSetT.setSamplingRate(sampling)
# set coords from the input, will update later if needed
imgSetU.setCoordinates(
self.inputCoordinatesTiltedPairs.get().getUntilted())
imgSetT.setCoordinates(
self.inputCoordinatesTiltedPairs.get().getTilted())
# Read untilted and tilted particles on a temporary object (also disabled particles)
imgSetAuxU = SetOfParticles(filename=':memory:')
imgSetAuxU.copyInfo(imgSetU)
readSetOfParticles(fnUntilted, imgSetAuxU, removeDisabled=False)
imgSetAuxT = SetOfParticles(filename=':memory:')
imgSetAuxT.copyInfo(imgSetT)
readSetOfParticles(fnTilted, imgSetAuxT, removeDisabled=False)
# calculate factor for coords scaling
factor = 1 / self.samplingFactor
if self._doDownsample():
factor /= self.downFactor.get()
coordsT = self.inputCoordinatesTiltedPairs.get().getTilted()
# For each untilted particle retrieve micId from SetOfCoordinates untilted
for imgU, coordU in izip(
imgSetAuxU,
self.inputCoordinatesTiltedPairs.get().getUntilted()):
# FIXME: Remove this check when sure that objIds are equal
id = imgU.getObjId()
if id != coordU.getObjId():
raise Exception(
'ObjIds in untilted img and coord are not the same!!!!')
imgT = imgSetAuxT[id]
coordT = coordsT[id]
# If both particles are enabled append them
if imgU.isEnabled() and imgT.isEnabled():
if self._micsOther() or self._doDownsample():
coordU.scale(factor)
coordT.scale(factor)
imgU.setCoordinate(coordU)
imgSetU.append(imgU)
imgT.setCoordinate(coordT)
imgSetT.append(imgT)
imgSetU.write()
imgSetT.write()
# Define output ParticlesTiltPair
outputset = ParticlesTiltPair(
filename=self._getPath('particles_pairs.sqlite'))
outputset.setTilted(imgSetT)
outputset.setUntilted(imgSetU)
for imgU, imgT in izip(imgSetU, imgSetT):
outputset.append(TiltPair(imgU, imgT))
outputset.setCoordsPair(self.inputCoordinatesTiltedPairs.get())
self._defineOutputs(outputParticlesTiltPair=outputset)
self._defineSourceRelation(self.inputCoordinatesTiltedPairs, outputset)
# --------------------------- INFO functions --------------------------------------------
def _validate(self):
errors = []
if self.doNormalize:
if self.backRadius > int(self.boxSize.get() / 2):
errors.append("Background radius for normalization should be "
"equal or less than half of the box size.")
return errors
def _citations(self):
return ['delaRosaTrevin2013']
def _summary(self):
summary = []
summary.append("Micrographs source: %s" %
self.getEnumText('downsampleType'))
summary.append("Particle box size: %d" % self.boxSize)
if not hasattr(self, 'outputParticlesTiltPair'):
summary.append("Output images not ready yet.")
else:
summary.append("Particle pairs extracted: %d" %
self.outputParticlesTiltPair.getSize())
return summary
def _methods(self):
methodsMsgs = []
if self.getStatus() == STATUS_FINISHED:
msg = "A total of %d particle pairs of size %d were extracted" % (
self.getOutput().getSize(), self.boxSize)
if self._micsOther():
msg += " from another set of micrographs: %s" % self.getObjectTag(
'inputMicrographsTiltedPair')
msg += " using coordinates %s" % self.getObjectTag(
'inputCoordinatesTiltedPairs')
msg += self.methodsVar.get('')
methodsMsgs.append(msg)
if self.doRemoveDust:
methodsMsgs.append("Removed dust over a threshold of %s." %
(self.thresholdDust))
if self.doInvert:
methodsMsgs.append("Inverted contrast on images.")
if self._doDownsample():
methodsMsgs.append(
"Particles downsampled by a factor of %0.2f." %
self.downFactor)
if self.doNormalize:
methodsMsgs.append("Normalization performed of type %s." %
(self.getEnumText('normType')))
return methodsMsgs
# --------------------------- UTILS functions --------------------------------------------
def _setupBasicProperties(self):
# Get sampling rate and inputMics according to micsSource type
self.inputCoords = self.getCoords()
self.uMics, self.tMics = self.getInputMicrographs()
self.samplingInput = self.inputCoords.getUntilted().getMicrographs(
).getSamplingRate()
self.samplingMics = self.uMics.getSamplingRate()
self.samplingFactor = float(self.samplingMics / self.samplingInput)
# create tmp set with all mic pairs
self.inputMics = SetOfMicrographs(filename=':memory:')
self.inputMics.copyInfo(self.uMics)
self.inputMics.setStore(False)
for micU, micT in izip(self.uMics, self.tMics):
micU.cleanObjId()
micT.cleanObjId()
self.inputMics.append(micU)
self.inputMics.append(micT)
def getInputMicrographs(self):
""" Return pairs of micrographs associated to the SetOfCoordinates or
Other micrographs. """
if not self._micsOther():
return self.inputCoordinatesTiltedPairs.get().getUntilted().getMicrographs(), \
self.inputCoordinatesTiltedPairs.get().getTilted().getMicrographs()
else:
return self.inputMicrographsTiltedPair.get().getUntilted(), \
self.inputMicrographsTiltedPair.get().getTilted()
def getCoords(self):
return self.inputCoordinatesTiltedPairs.get()
def getOutput(self):
if self.hasAttribute('outputParticlesTiltPair'
) and self.outputParticlesTiltPair.hasValue():
return self.outputParticlesTiltPair
else:
return None
def getCoordSampling(self):
return self.getCoords().getUntilted().getMicrographs().getSamplingRate(
)
def getMicSampling(self):
return self.getInputMicrographs()[0].getSamplingRate()
def testCtfdiscrepancyWorkflow(self):
# create one micrograph set
fnMicSet = self.proj.getTmpPath("mics.sqlite")
fnMic = self.proj.getTmpPath("mic.mrc")
mic = Micrograph()
mic.setFileName(fnMic)
micSet = SetOfMicrographs(filename=fnMicSet)
# create two CTFsets
fnCTF1 = self.proj.getTmpPath("ctf1.sqlite")
fnCTF2 = self.proj.getTmpPath("ctf2.sqlite")
ctfSet1 = SetOfCTF(filename=fnCTF1)
ctfSet2 = SetOfCTF(filename=fnCTF2)
# create one fake micrographs image
projSize = 32
img = xmipp.Image()
img.setDataType(xmipp.DT_FLOAT)
img.resize(projSize, projSize)
img.write(fnMic)
# fill the sets
for i in range(1, 4):
mic = Micrograph()
mic.setFileName(fnMic)
micSet.append(mic)
defocusU = 1000 + 10 * i
defocusV = 1000 + i
defocusAngle = i * 10
psdFile = "psd_1%04d" % i
ctf = self._getCTFModel(defocusU, defocusV, defocusAngle, psdFile)
ctf.setMicrograph(mic)
ctfSet1.append(ctf)
defocusU = 1000 + 20 * i
defocusV = 1000 + i
defocusAngle = i * 20
psdFile = "psd_2%04d" % i
ctf = self._getCTFModel(defocusU, defocusV, defocusAngle, psdFile)
ctf.setMicrograph(mic)
ctfSet2.append(ctf)
ctfSet1.write()
ctfSet2.write()
micSet.write()
# import micrograph set
args = {
'importFrom': ProtImportMicrographs.IMPORT_FROM_SCIPION,
'sqliteFile': fnMicSet,
'amplitudConstrast': 0.1,
'sphericalAberration': 2.,
'voltage': 100,
'samplingRate': 2.1
}
protMicImport = self.newProtocol(ProtImportMicrographs, **args)
protMicImport.setObjLabel('import micrographs from sqlite ')
self.launchProtocol(protMicImport)
# import ctfsets
protCTF1 = \
self.newProtocol(ProtImportCTF,
importFrom=ProtImportCTF.IMPORT_FROM_SCIPION,
filesPath=fnCTF1)
protCTF2 = \
self.newProtocol(ProtImportCTF,
importFrom=ProtImportCTF.IMPORT_FROM_SCIPION,
filesPath=fnCTF2)
protCTF1.inputMicrographs.set(protMicImport.outputMicrographs)
protCTF2.inputMicrographs.set(protMicImport.outputMicrographs)
protCTF1.setObjLabel('import ctfs from scipion_1 ')
protCTF2.setObjLabel('import ctfs from scipion_2 ')
self.launchProtocol(protCTF1)
self.launchProtocol(protCTF2)
# launch CTF discrepancy protocol
protCtfDiscrepancy = self.newProtocol(XmippProtCTFDiscrepancy)
protCtfDiscrepancy.inputCTF1.set(protCTF1.outputCTF)
protCtfDiscrepancy.inputCTF2.set(protCTF2.outputCTF)
protCtfDiscrepancy.setObjLabel('ctf discrepancy')
self.launchProtocol(protCtfDiscrepancy)
ctf0 = protCtfDiscrepancy.outputCTF.getFirstItem()
resolution = int(ctf0.getResolution())
defocusU = int(ctf0.getDefocusU())
self.assertEqual(resolution, 2)
self.assertEqual(defocusU, 1010)
class XmippProtExtractParticlesPairs(ProtExtractParticlesPair, XmippProtocol):
"""Protocol to extract particles from a set of tilted pairs coordinates"""
_label = 'extract particle pairs'
def __init__(self, **kwargs):
ProtExtractParticlesPair.__init__(self, **kwargs)
self.stepsExecutionMode = STEPS_PARALLEL
# --------------------------- DEFINE param functions -----------------------
def _defineParams(self, form):
form.addSection(label='Input')
form.addParam('inputCoordinatesTiltedPairs', PointerParam,
important=True, label="Coordinates tilted pairs",
pointerClass='CoordinatesTiltPair',
help='Select the CoordinatesTiltPairs')
form.addParam('downsampleType', EnumParam,
choices=['same as picking', 'other'],
default=0, important=True, label='Micrographs source',
display=EnumParam.DISPLAY_HLIST,
help='By default the particles will be extracted '
'from the micrographs used in the picking '
'step ( _same as picking_ option ).\n'
'If you select _other_ option, you must provide '
'a different set of micrographs to extract from.\n'
'*Note*: In the _other_ case, ensure that provided '
'micrographs and coordinates are related '
'by micName or by micId. Difference in pixel size '
'will be handled automatically.')
form.addParam('inputMicrographsTiltedPair', PointerParam,
pointerClass='MicrographsTiltPair',
condition='downsampleType != 0',
important=True, label='Input tilt pair micrographs',
help='Select the tilt pair micrographs from which to '
'extract.')
# downFactor should always be 1.0 or greater
geOne = GE(1.0, error='Value should be greater or equal than 1.0')
form.addParam('downFactor', FloatParam, default=1.0,
validators=[geOne],
label='Downsampling factor',
help='Select a value greater than 1.0 to reduce the size '
'of micrographs before extracting the particles. '
'If 1.0 is used, no downsample is applied. '
'Non-integer downsample factors are possible. ')
form.addParam('boxSize', IntParam, default=0,
label='Particle box size', validators=[Positive],
help='In pixels. The box size is the size of the boxed '
'particles, actual particles may be smaller than '
'this. If you do downsampling after extraction, '
'provide final box size here.')
form.addParam('doBorders', BooleanParam, default=False,
label='Fill pixels outside borders',
help='Xmipp by default skips particles whose boxes fall '
'outside of the micrograph borders. Set this '
'option to True if you want those pixels outside '
'the borders to be filled with the closest pixel '
'value available')
form.addSection(label='Preprocess')
form.addParam('doRemoveDust', BooleanParam, default=True,
important=True, label='Dust removal (Recommended)',
help='Sets pixels with unusually large values to random '
'values from a Gaussian with zero-mean and '
'unity-standard deviation.')
form.addParam('thresholdDust', FloatParam, default=3.5,
condition='doRemoveDust', expertLevel=LEVEL_ADVANCED,
label='Threshold for dust removal',
help='Pixels with a signal higher or lower than this '
'value times the standard deviation of the image '
'will be affected. For cryo, 3.5 is a good value. '
'For high-contrast negative stain, the signal '
'itself may be affected so that a higher value may '
'be preferable.')
form.addParam('doInvert', BooleanParam, default=None,
label='Invert contrast',
help='Invert the contrast if your particles are black '
'over a white background. Xmipp, Spider, Relion '
'and Eman require white particles over a black '
'background, Frealign (up to v9.07) requires black '
'particles over a white background')
form.addParam('doNormalize', BooleanParam, default=True,
label='Normalize (Recommended)',
help='It subtract a ramp in the gray values and '
'normalizes so that in the background there is 0 '
'mean and standard deviation 1.')
form.addParam('normType', EnumParam,
choices=['OldXmipp', 'NewXmipp', 'Ramp'], default=2,
condition='doNormalize', expertLevel=LEVEL_ADVANCED,
display=EnumParam.DISPLAY_COMBO,
label='Normalization type',
help='OldXmipp (mean(Image)=0, stddev(Image)=1).\n'
'NewXmipp (mean(background)=0, '
'stddev(background)=1)\n'
'Ramp (subtract background+NewXmipp).')
form.addParam('backRadius', IntParam, default=-1,
condition='doNormalize',
label='Background radius', expertLevel=LEVEL_ADVANCED,
help='Pixels outside this circle are assumed to be '
'noise and their stddev is set to 1. Radius for '
'background circle definition (in pix.). If this '
'value is 0, then half the box size is used.')
form.addParallelSection(threads=4, mpi=1)
#--------------------------- INSERT steps functions ------------------------
def _insertAllSteps(self):
self._setupBasicProperties()
# Write pos files for each micrograph
firstStepId = self._insertFunctionStep('writePosFilesStep')
# For each micrograph insert the steps, run in parallel
deps = []
for mic in self.inputMics:
localDeps = [firstStepId]
fnLast = mic.getFileName()
micName = pwutils.removeBaseExt(mic.getFileName())
def getMicTmp(suffix):
return self._getTmpPath(micName + suffix)
# Create a list with micrographs operations (programs in xmipp) and
# the required command line parameters (except input/ouput files)
micOps = []
# Check if it is required to downsample your micrographs
downFactor = self.downFactor.get()
if self.notOne(downFactor):
fnDownsampled = getMicTmp("_downsampled.xmp")
args = "-i %s -o %s --step %f --method fourier"
micOps.append(('xmipp_transform_downsample',
args % (fnLast, fnDownsampled, downFactor)))
fnLast = fnDownsampled
if self.doRemoveDust:
fnNoDust = getMicTmp("_noDust.xmp")
args = " -i %s -o %s --bad_pixels outliers %f"
micOps.append(('xmipp_transform_filter',
args % (fnLast, fnNoDust, self.thresholdDust)))
fnLast = fnNoDust
# TODO: implement CTF
# Actually extract
deps.append(self._insertFunctionStep('extractParticlesStep',
mic.getObjId(), micName,
None, fnLast, micOps,
self.doInvert.get(),
self._getNormalizeArgs(),
self.doBorders.get(),
prerequisites=localDeps))
metaDeps = self._insertFunctionStep('createMetadataImageStep',
prerequisites=deps)
# Insert step to create output objects
self._insertFunctionStep('createOutputStep',
prerequisites=[metaDeps], wait=False)
# --------------------------- STEPS functions ------------------------------
def writePosFilesStep(self):
""" Write the pos file for each micrograph in metadata format
(both untilted and tilted). """
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getUntilted(),
scale=self.getBoxScale())
writeSetOfCoordinates(self._getExtraPath(),
self.inputCoords.getTilted(),
scale=self.getBoxScale())
# We need to find the mapping by micName (without ext) between the
# micrographs in the SetOfCoordinates and the Other micrographs
if self._micsOther():
micDict = {}
# create tmp set with all mics from coords set
coordMics = SetOfMicrographs(filename=':memory:')
coordMics.copyInfo(self.inputCoords.getUntilted().getMicrographs())
for micU, micT in izip(self.inputCoords.getUntilted().getMicrographs(),
self.inputCoords.getTilted().getMicrographs()):
micU.cleanObjId()
micT.cleanObjId()
coordMics.append(micU)
coordMics.append(micT)
for mic in coordMics:
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
micDict[pwutils.removeExt(mic.getMicName())] = micPos
# now match micDict and inputMics
if any(pwutils.removeExt(mic.getMicName()) in micDict for mic in self.inputMics):
micKey = lambda mic: pwutils.removeExt(mic.getMicName())
else:
raise Exception('Could not match input micrographs and coordinates '
'by micName.')
for mic in self.inputMics: # micrograph from input (other)
mk = micKey(mic)
if mk in micDict:
micPosCoord = micDict[mk]
if exists(micPosCoord):
micBase = pwutils.removeBaseExt(mic.getFileName())
micPos = self._getExtraPath(micBase + ".pos")
if micPos != micPosCoord:
self.info('Moving %s -> %s' % (micPosCoord, micPos))
pwutils.moveFile(micPosCoord, micPos)
def extractParticlesStep(self, micId, baseMicName, fnCTF,
micrographToExtract, micOps,
doInvert, normalizeArgs, doBorders):
""" Extract particles from one micrograph """
outputRoot = str(self._getExtraPath(baseMicName))
fnPosFile = self._getExtraPath(baseMicName + ".pos")
# If it has coordinates extract the particles
particlesMd = 'particles@%s' % fnPosFile
boxSize = self.boxSize.get()
boxScale = self.getBoxScale()
print "boxScale: ", boxScale
if exists(fnPosFile):
# Apply first all operations required for the micrograph
for program, args in micOps:
self.runJob(program, args)
args = " -i %s --pos %s" % (micrographToExtract, particlesMd)
args += " -o %s --Xdim %d" % (outputRoot, boxSize)
if doInvert:
args += " --invert"
if fnCTF:
args += " --ctfparam " + fnCTF
if doBorders:
args += " --fillBorders"
self.runJob("xmipp_micrograph_scissor", args)
# Normalize
if normalizeArgs:
self.runJob('xmipp_transform_normalize',
'-i %s.stk %s' % (outputRoot, normalizeArgs))
else:
self.warning("The micrograph %s hasn't coordinate file! "
% baseMicName)
self.warning("Maybe you picked over a subset of micrographs")
# Let's clean the temporary mrc micrographs
if not pwutils.envVarOn("SCIPION_DEBUG_NOCLEAN"):
pwutils.cleanPattern(self._getTmpPath(baseMicName) + '*')
def createMetadataImageStep(self):
mdUntilted = md.MetaData()
mdTilted = md.MetaData()
# for objId in mdPairs:
for uMic, tMic in izip(self.uMics, self.tMics):
umicName = pwutils.removeBaseExt(uMic.getFileName())
fnMicU = self._getExtraPath(umicName + ".xmd")
fnPosU = self._getExtraPath(umicName + ".pos")
# Check if there are picked particles in these micrographs
if pwutils.exists(fnMicU):
mdMicU = md.MetaData(fnMicU)
mdPosU = md.MetaData('particles@%s' % fnPosU)
mdPosU.merge(mdMicU)
mdUntilted.unionAll(mdPosU)
tmicName = pwutils.removeBaseExt(tMic.getFileName())
fnMicT = self._getExtraPath(tmicName + ".xmd")
fnPosT = self._getExtraPath(tmicName + ".pos")
mdMicT = md.MetaData(fnMicT)
mdPosT = md.MetaData('particles@%s' % fnPosT)
mdPosT.merge(mdMicT)
mdTilted.unionAll(mdPosT)
# Write image metadata (check if it is really necessary)
fnTilted = self._getExtraPath("images_tilted.xmd")
fnUntilted = self._getExtraPath("images_untilted.xmd")
mdUntilted.write(fnUntilted)
mdTilted.write(fnTilted)
def createOutputStep(self):
fnTilted = self._getExtraPath("images_tilted.xmd")
fnUntilted = self._getExtraPath("images_untilted.xmd")
# Create outputs SetOfParticles both for tilted and untilted
imgSetU = self._createSetOfParticles(suffix="Untilted")
imgSetU.copyInfo(self.uMics)
imgSetT = self._createSetOfParticles(suffix="Tilted")
imgSetT.copyInfo(self.tMics)
sampling = self.samplingMics if self._micsOther() else self.samplingInput
if self._doDownsample():
sampling *= self.downFactor.get()
imgSetU.setSamplingRate(sampling)
imgSetT.setSamplingRate(sampling)
# set coords from the input, will update later if needed
imgSetU.setCoordinates(self.inputCoordinatesTiltedPairs.get().getUntilted())
imgSetT.setCoordinates(self.inputCoordinatesTiltedPairs.get().getTilted())
# Read untilted and tilted particles on a temporary object (also disabled particles)
imgSetAuxU = SetOfParticles(filename=':memory:')
imgSetAuxU.copyInfo(imgSetU)
readSetOfParticles(fnUntilted, imgSetAuxU, removeDisabled=False)
imgSetAuxT = SetOfParticles(filename=':memory:')
imgSetAuxT.copyInfo(imgSetT)
readSetOfParticles(fnTilted, imgSetAuxT, removeDisabled=False)
# calculate factor for coords scaling
factor = 1 / self.samplingFactor
if self._doDownsample():
factor /= self.downFactor.get()
coordsT = self.inputCoordinatesTiltedPairs.get().getTilted()
# For each untilted particle retrieve micId from SetOfCoordinates untilted
for imgU, coordU in izip(imgSetAuxU, self.inputCoordinatesTiltedPairs.get().getUntilted()):
# FIXME: Remove this check when sure that objIds are equal
id = imgU.getObjId()
if id != coordU.getObjId():
raise Exception('ObjIds in untilted img and coord are not the same!!!!')
imgT = imgSetAuxT[id]
coordT = coordsT[id]
# If both particles are enabled append them
if imgU.isEnabled() and imgT.isEnabled():
if self._micsOther() or self._doDownsample():
coordU.scale(factor)
coordT.scale(factor)
imgU.setCoordinate(coordU)
imgSetU.append(imgU)
imgT.setCoordinate(coordT)
imgSetT.append(imgT)
imgSetU.write()
imgSetT.write()
# Define output ParticlesTiltPair
outputset = ParticlesTiltPair(filename=self._getPath('particles_pairs.sqlite'))
outputset.setTilted(imgSetT)
outputset.setUntilted(imgSetU)
for imgU, imgT in izip(imgSetU, imgSetT):
outputset.append(TiltPair(imgU, imgT))
outputset.setCoordsPair(self.inputCoordinatesTiltedPairs.get())
self._defineOutputs(outputParticlesTiltPair=outputset)
self._defineSourceRelation(self.inputCoordinatesTiltedPairs, outputset)
# --------------------------- INFO functions --------------------------------------------
def _validate(self):
errors = []
if self.doNormalize:
if self.backRadius > int(self.boxSize.get() / 2):
errors.append("Background radius for normalization should be "
"equal or less than half of the box size.")
return errors
def _citations(self):
return ['delaRosaTrevin2013']
def _summary(self):
summary = []
summary.append("Micrographs source: %s"
% self.getEnumText('downsampleType'))
summary.append("Particle box size: %d" % self.boxSize)
if not hasattr(self, 'outputParticlesTiltPair'):
summary.append("Output images not ready yet.")
else:
summary.append("Particle pairs extracted: %d" %
self.outputParticlesTiltPair.getSize())
return summary
def _methods(self):
methodsMsgs = []
if self.getStatus() == STATUS_FINISHED:
msg = "A total of %d particle pairs of size %d were extracted" % (self.getOutput().getSize(),
self.boxSize)
if self._micsOther():
msg += " from another set of micrographs: %s" % self.getObjectTag('inputMicrographsTiltedPair')
msg += " using coordinates %s" % self.getObjectTag('inputCoordinatesTiltedPairs')
msg += self.methodsVar.get('')
methodsMsgs.append(msg)
if self.doRemoveDust:
methodsMsgs.append("Removed dust over a threshold of %s." % (self.thresholdDust))
if self.doInvert:
methodsMsgs.append("Inverted contrast on images.")
if self._doDownsample():
methodsMsgs.append("Particles downsampled by a factor of %0.2f." % self.downFactor)
if self.doNormalize:
methodsMsgs.append("Normalization performed of type %s." % (self.getEnumText('normType')))
return methodsMsgs
# --------------------------- UTILS functions ------------------------------
def _setupBasicProperties(self):
# Get sampling rate and inputMics according to micsSource type
self.inputCoords = self.getCoords()
self.uMics, self.tMics = self.getInputMicrographs()
self.samplingInput = self.inputCoords.getUntilted().getMicrographs().getSamplingRate()
self.samplingMics = self.uMics.getSamplingRate()
self.samplingFactor = float(self.samplingMics / self.samplingInput)
# create tmp set with all mic pairs
self.inputMics = SetOfMicrographs(filename=':memory:')
self.inputMics.copyInfo(self.uMics)
self.inputMics.setStore(False)
for micU, micT in izip(self.uMics, self.tMics):
micU.cleanObjId()
micT.cleanObjId()
self.inputMics.append(micU)
self.inputMics.append(micT)
def getInputMicrographs(self):
""" Return pairs of micrographs associated to the SetOfCoordinates or
Other micrographs. """
if not self._micsOther():
return self.inputCoordinatesTiltedPairs.get().getUntilted().getMicrographs(), \
self.inputCoordinatesTiltedPairs.get().getTilted().getMicrographs()
else:
return self.inputMicrographsTiltedPair.get().getUntilted(), \
self.inputMicrographsTiltedPair.get().getTilted()
def getCoords(self):
return self.inputCoordinatesTiltedPairs.get()
def getOutput(self):
if self.hasAttribute('outputParticlesTiltPair') and self.outputParticlesTiltPair.hasValue():
return self.outputParticlesTiltPair
else:
return None
def getCoordSampling(self):
return self.getCoords().getUntilted().getMicrographs().getSamplingRate()
def getMicSampling(self):
return self.getInputMicrographs()[0].getSamplingRate()
def notOne(self, value):
return abs(value - 1) > 0.0001
def _doDownsample(self):
return self.downFactor > 1.0
def _getNormalizeArgs(self):
if not self.doNormalize:
return ''
normType = self.getEnumText("normType")
args = "--method %s " % normType
if normType != "OldXmipp":
bgRadius = self.backRadius.get()
if bgRadius <= 0:
bgRadius = int(self.boxSize.get() / 2)
args += " --background circle %d" % bgRadius
return args
def getBoxScale(self):
""" Computing the sampling factor between input and output.
We should take into account the differences in sampling rate between
micrographs used for picking and the ones used for extraction.
The downsampling factor could also affect the resulting scale.
"""
samplingPicking = self.getCoordSampling()
samplingExtract = self.getMicSampling()
f = samplingPicking / samplingExtract
return f / self.downFactor.get() if self._doDownsample() else f
def _micsOther(self):
""" Return True if other micrographs are used for extract. """
return self.downsampleType == OTHER