def getMinMax(self, imageFile):
img = ImageHandler().read(imageFile)
imgData = img.getData()
imgData = imgData[imgData != 0]
min_res = round(np.amin(imgData) * 100) / 100
max_res = round(np.amax(imgData) * 100) / 100
median_res = round(np.median(imgData) * 100) / 100
return min_res, max_res, median_res
def sharpeningAndMonoResStep(self):
last_Niters = -1
last_lambda_sharpening = 1e38
nextIter = True
while nextIter is True:
self.iteration = self.iteration + 1
#print iteration
print('\n====================\n'
'Iteration %s' % (self.iteration))
self.sharpenStep(self.iteration)
mtd = md.MetaData()
mtd.read(self._getFileName('METADATA_PARAMS_SHARPENING'))
lambda_sharpening = mtd.getValue(MDL_COST, 1)
Niters = mtd.getValue(MDL_ITER, 1)
# if (Niters == last_Niters):
# nextIter = False
# break
if (abs(lambda_sharpening - last_lambda_sharpening) <= 0.2):
nextIter = False
break
last_Niters = Niters
last_lambda_sharpening = lambda_sharpening
self.MonoResStep(self.iteration)
imageFile = self._getFileName('OUTPUT_RESOLUTION_FILE')
img = ImageHandler().read(imageFile)
imgData = img.getData()
max_res = np.amax(imgData)
min_res = 2 * self.inputVolume.get().getSamplingRate()
#print ("minres %s y maxres %s" % (min_res, max_res))
if (max_res - min_res < 0.75):
nextIter = False
break
# TODO: please copy the file using python not the operating system
os.system('cp ' + self._getExtraPath('sharpenedMap_' +
str(self.iteration) + '.mrc') +
' ' + self._getExtraPath('sharpenedMap_last.mrc'))
resFile = self.resolutionVolume.get().getFileName()
pathres = dirname(resFile)
if not exists(os.path.join(pathres, 'mask_data.xmd')):
print(
'\n====================\n'
' WARNING---This is not the ideal case because resolution map has been imported.'
' The ideal case is to calculate it previously'
' in the same project using MonoRes.'
'\n====================\n')
def createChimeraScript(self):
fnRoot = "extra/"
scriptFile = self.protocol._getPath('Chimera_resolution.cmd')
fhCmd = open(scriptFile, 'w')
imageFile = self.protocol._getExtraPath(OUTPUT_RESOLUTION_FILE_CHIMERA)
img = ImageHandler().read(imageFile)
imgData = img.getData()
min_Res = round(np.amin(imgData) * 100) / 100
max_Res = round(np.amax(imgData) * 100) / 100
numberOfColors = 21
colors_labels = self.numberOfColors(min_Res, max_Res, numberOfColors)
colorList = self.colorMapToColorList(colors_labels, self.getColorMap())
if self.protocol.halfVolumes.get() is True:
#fhCmd.write("open %s\n" % (fnRoot+FN_MEAN_VOL)) #Perhaps to check the use of mean volume is useful
fnbase = removeExt(self.protocol.inputVolume.get().getFileName())
ext = getExt(self.protocol.inputVolume.get().getFileName())
fninput = abspath(fnbase + ext[0:4])
fhCmd.write("open %s\n" % fninput)
else:
fnbase = removeExt(self.protocol.inputVolumes.get().getFileName())
ext = getExt(self.protocol.inputVolumes.get().getFileName())
fninput = abspath(fnbase + ext[0:4])
fhCmd.write("open %s\n" % fninput)
fhCmd.write("open %s\n" % (fnRoot + OUTPUT_RESOLUTION_FILE_CHIMERA))
if self.protocol.halfVolumes.get() is True:
smprt = self.protocol.inputVolume.get().getSamplingRate()
else:
smprt = self.protocol.inputVolumes.get().getSamplingRate()
fhCmd.write("volume #0 voxelSize %s\n" % (str(smprt)))
fhCmd.write("volume #1 voxelSize %s\n" % (str(smprt)))
fhCmd.write("vol #1 hide\n")
scolorStr = '%s,%s:' * numberOfColors
scolorStr = scolorStr[:-1]
line = ("scolor #0 volume #1 perPixel false cmap " + scolorStr +
"\n") % colorList
fhCmd.write(line)
scolorStr = '%s %s ' * numberOfColors
str_colors = ()
for idx, elem in enumerate(colorList):
if (idx % 2 == 0):
if ((idx % 8) == 0):
str_colors += str(elem),
else:
str_colors += '" "',
else:
str_colors += elem,
line = ("colorkey 0.01,0.05 0.02,0.95 " + scolorStr +
"\n") % str_colors
fhCmd.write(line)
fhCmd.close()
def createChimeraScript(self):
fnRoot = "extra/"
scriptFile = self.protocol._getPath('Chimera_resolution.cmd')
fhCmd = open(scriptFile, 'w')
imageFile = self.protocol._getExtraPath(OUTPUT_RESOLUTION_FILE_CHIMERA)
img = ImageHandler().read(imageFile)
imgData = img.getData()
min_Res = round(np.amin(imgData)*100)/100
max_Res = round(np.amax(imgData)*100)/100
numberOfColors = 21
colors_labels = self.numberOfColors(min_Res, max_Res, numberOfColors)
colorList = self.colorMapToColorList(colors_labels, self.getColorMap())
if self.protocol.halfVolumes.get() is True:
#fhCmd.write("open %s\n" % (fnRoot+FN_MEAN_VOL)) #Perhaps to check the use of mean volume is useful
fnbase = removeExt(self.protocol.inputVolume.get().getFileName())
ext = getExt(self.protocol.inputVolume.get().getFileName())
fninput = abspath(fnbase + ext[0:4])
fhCmd.write("open %s\n" % fninput)
else:
fnbase = removeExt(self.protocol.inputVolumes.get().getFileName())
ext = getExt(self.protocol.inputVolumes.get().getFileName())
fninput = abspath(fnbase + ext[0:4])
fhCmd.write("open %s\n" % fninput)
fhCmd.write("open %s\n" % (fnRoot + OUTPUT_RESOLUTION_FILE_CHIMERA))
if self.protocol.halfVolumes.get() is True:
smprt = self.protocol.inputVolume.get().getSamplingRate()
else:
smprt = self.protocol.inputVolumes.get().getSamplingRate()
fhCmd.write("volume #0 voxelSize %s\n" % (str(smprt)))
fhCmd.write("volume #1 voxelSize %s\n" % (str(smprt)))
fhCmd.write("vol #1 hide\n")
scolorStr = '%s,%s:' * numberOfColors
scolorStr = scolorStr[:-1]
line = ("scolor #0 volume #1 perPixel false cmap " + scolorStr + "\n") % colorList
fhCmd.write(line)
scolorStr = '%s %s ' * numberOfColors
str_colors = ()
for idx, elem in enumerate(colorList):
if (idx % 2 == 0):
if ((idx % 8) == 0):
str_colors += str(elem),
else:
str_colors += '" "',
else:
str_colors += elem,
line = ("colorkey 0.01,0.05 0.02,0.95 " + scolorStr + "\n") % str_colors
fhCmd.write(line)
fhCmd.close()
def sharpeningAndMonoResStep(self):
last_Niters = -1
last_lambda_sharpening = 1e38
nextIter = True
iteration = 0
while nextIter is True:
iteration = iteration + 1
#print iteration
print ('\n====================\n'
'Iteration %s' % (iteration))
self.sharpenStep(iteration)
mtd = md.MetaData()
mtd.read(self._getFileName('METADATA_PARAMS_SHARPENING'))
lambda_sharpening = mtd.getValue(MDL_COST,1)
Niters = mtd.getValue(MDL_ITER,1)
# if (Niters == last_Niters):
# nextIter = False
# break
if (abs(lambda_sharpening - last_lambda_sharpening)<= 0.2):
nextIter = False
break
last_Niters = Niters
last_lambda_sharpening = lambda_sharpening
self.MonoResStep(iteration)
imageFile = self._getFileName('OUTPUT_RESOLUTION_FILE')
img = ImageHandler().read(imageFile)
imgData = img.getData()
max_res = np.amax(imgData)
min_res = 2*self.inputVolume.get().getSamplingRate()
#print ("minres %s y maxres %s" % (min_res, max_res))
if (max_res-min_res<0.75):
nextIter = False
break
os.system('cp ' +self._getExtraPath('sharpenedMap_'+str(iteration)+'.mrc')+
' ' +self._getExtraPath('sharpenedMap_last.mrc'))
resFile = self.resolutionVolume.get().getFileName()
pathres=dirname(resFile)
if not exists(os.path.join(pathres,'mask_data.xmd')):
print ('\n====================\n'
' WARNING---This is not the ideal case because resolution map has been imported.'
' The ideal case is to calculate it previously'
' in the same project using MonoRes.'
'\n====================\n')
def _plotHistogram(self, param=None):
imageFile = self.protocol._getFileName(FN_RESOLMAP)
img = ImageHandler().read(imageFile)
imgData = img.getData()
imgList = imgData.flatten()
imgListNoZero = filter(lambda x: x > 0, imgList)
nbins = 30
plotter = EmPlotter(x=1, y=1, mainTitle=" ")
plotter.createSubPlot("Resolution histogram", "Resolution (A)",
"# of Counts")
fig = plotter.plotHist(imgListNoZero, nbins)
return [plotter]
def createChimeraScriptDoA(self, infile, outfile, ellipfile):
fnRoot = "extra/"
scriptFile = self.protocol._getPath(outfile)
fhCmd = open(scriptFile, 'w')
imageFile = self.protocol._getExtraPath(infile)
img = ImageHandler().read(imageFile)
imgData = img.getData()
min_Res = 0.0 #round(np.amin(imgData)*100)/100
max_Res = 1.0 #round(np.amax(imgData)*100)/100
numberOfColors = 21
colors_labels = self.numberOfColors(min_Res, max_Res, numberOfColors)
colorList = self.colorMapToColorList(colors_labels, self.getColorMap())
fnbase = removeExt(self.protocol.inputVolumes.get().getFileName())
ext = getExt(self.protocol.inputVolumes.get().getFileName())
fninput = abspath(fnbase + ext[0:4])
fhCmd.write("open %s\n" % fninput)
fhCmd.write("open %s\n" % (fnRoot + infile))
fhCmd.write("open %s\n" % (fnRoot + ellipfile))
smprt = self.protocol.inputVolumes.get().getSamplingRate()
fhCmd.write("volume #0 voxelSize %s\n" % (str(smprt)))
fhCmd.write("volume #1 voxelSize %s\n" % (str(smprt)))
fhCmd.write("volume #2 voxelSize %s\n" % (str(smprt)))
fhCmd.write("volume #2 style mesh\n")
fhCmd.write("vol #1 hide\n")
scolorStr = '%s,%s:' * numberOfColors
scolorStr = scolorStr[:-1]
line = ("scolor #0 volume #1 perPixel false cmap " + scolorStr +
"\n") % colorList
fhCmd.write(line)
scolorStr = '%s %s ' * numberOfColors
str_colors = ()
for idx, elem in enumerate(colorList):
if (idx % 2 == 0):
if ((idx % 8) == 0):
str_colors += str(elem),
else:
str_colors += '" "',
else:
str_colors += elem,
line = ("colorkey 0.01,0.05 0.02,0.95 " + scolorStr +
"\n") % str_colors
fhCmd.write(line)
fhCmd.close()
def checkBackgroundStep(self):
initRes=self.resolutionVolume.get().getFileName()
img = ImageHandler().read(initRes)
imgData = img.getData()
max_value = np.amax(imgData)
min_value = np.amin(imgData)
#print ("minvalue %s y maxvalue %s" % (min_value, max_value))
if (min_value > 0.01):
params = ' -i %s' % self.resFn
params += ' -o %s' % self.resFn
params += ' --select above %f' % (max_value-1)
params += ' --substitute value 0'
self.runJob('xmipp_transform_threshold', params)
def checkBackgroundStep(self):
initRes = self.resolutionVolume.get().getFileName()
img = ImageHandler().read(initRes)
imgData = img.getData()
max_value = np.amax(imgData)
min_value = np.amin(imgData)
#print ("minvalue %s y maxvalue %s" % (min_value, max_value))
if (min_value > 0.01):
params = ' -i %s' % self.resFn
params += ' -o %s' % self.resFn
params += ' --select above %f' % (max_value - 1)
params += ' --substitute value 0'
self.runJob('xmipp_transform_threshold', params)
def _showVolumeColorSlices(self, param=None):
imageFile = self.protocol.resolution_Volume.getFileName()
img = ImageHandler().read(imageFile)
imgData = img.getData()
max_Res = np.amax(imgData)
# This is to generate figures for the paper
# min_Res = np.amin(imgData)
# imgData2 = imgData
imgData2 = np.ma.masked_where(imgData < 0.1, imgData, copy=True)
min_Res = np.amin(imgData2)
fig, im = self._plotVolumeSlices('MonoRes slices', imgData2,
min_Res, max_Res, self.getColorMap(), dataAxis=self._getAxis())
cax = fig.add_axes([0.9, 0.1, 0.03, 0.8])
cbar = fig.colorbar(im, cax=cax)
cbar.ax.invert_yaxis()
return plt.show(fig)
def _showVolumeColorSlices(self, param=None):
imageFile = self.protocol._getExtraPath(OUTPUT_RESOLUTION_FILE)
img = ImageHandler().read(imageFile)
imgData = img.getData()
max_Res = np.amax(imgData)
# This is to generate figures for the paper
# min_Res = np.amin(imgData)
# imgData2 = imgData
imgData2 = np.ma.masked_where(imgData < 0.1, imgData, copy=True)
min_Res = np.amin(imgData2)
fig, im = self._plotVolumeSlices('MonoRes slices', imgData2,
min_Res, max_Res, self.getColorMap(), dataAxis=self._getAxis())
cax = fig.add_axes([0.9, 0.1, 0.03, 0.8])
cbar = fig.colorbar(im, cax=cax)
cbar.ax.invert_yaxis()
return plt.show(fig)
def MonoResStep(self, iter):
sampling = self.inputVolume.get().getSamplingRate()
if (iter == 1):
resFile = self.resolutionVolume.get().getFileName()
else:
resFile = self._getFileName('OUTPUT_RESOLUTION_FILE')
pathres = dirname(resFile)
img = ImageHandler().read(resFile)
imgData = img.getData()
max_res = np.amax(imgData)
significance = 0.95
mtd = md.MetaData()
if exists(os.path.join(pathres, 'mask_data.xmd')):
mtd.read(os.path.join(pathres, 'mask_data.xmd'))
radius = mtd.getValue(MDL_SCALE, 1)
else:
xdim, _ydim, _zdim = self.inputVolume.get().getDim()
radius = xdim * 0.5
params = ' --vol %s' % self._getExtraPath('sharpenedMap_' + str(iter) +
'.mrc')
params += ' --mask %s' % self._getFileName('BINARY_MASK')
params += ' --sampling_rate %f' % sampling
params += ' --minRes %f' % (2 * sampling)
params += ' --maxRes %f' % max_res
params += ' --step %f' % 0.25
params += ' --mask_out %s' % self._getTmpPath('refined_mask.vol')
params += ' -o %s' % self._getFileName('OUTPUT_RESOLUTION_FILE')
params += ' --volumeRadius %f' % radius
params += ' --exact'
params += ' --chimera_volume %s' % self._getFileName(
'OUTPUT_RESOLUTION_FILE_CHIMERA')
params += ' --sym %s' % 'c1'
params += ' --significance %f' % significance
params += ' --md_outputdata %s' % self._getTmpPath('mask_data.xmd')
params += ' --threads %i' % self.numberOfThreads.get()
self.runJob('xmipp_resolution_monogenic_signal', params)
def MonoResStep(self, iter):
sampling = self.inputVolume.get().getSamplingRate()
if (iter == 1):
resFile = self.resolutionVolume.get().getFileName()
else:
resFile = self._getFileName('OUTPUT_RESOLUTION_FILE')
pathres=dirname(resFile)
img = ImageHandler().read(resFile)
imgData = img.getData()
max_res = np.amax(imgData)
significance = 0.95
mtd = md.MetaData()
if exists(os.path.join(pathres,'mask_data.xmd')):
mtd.read(os.path.join(pathres,'mask_data.xmd'))
radius = mtd.getValue(MDL_SCALE,1)
else:
xdim, _ydim, _zdim = self.inputVolume.get().getDim()
radius = xdim*0.5
params = ' --vol %s' % self._getExtraPath('sharpenedMap_'+str(iter)+'.mrc')
params += ' --mask %s' % self._getFileName('BINARY_MASK')
params += ' --sampling_rate %f' % sampling
params += ' --minRes %f' % (2*sampling)
params += ' --maxRes %f' % max_res
params += ' --step %f' % 0.25
params += ' --mask_out %s' % self._getTmpPath('refined_mask.vol')
params += ' -o %s' % self._getFileName('OUTPUT_RESOLUTION_FILE')
params += ' --volumeRadius %f' % radius
params += ' --exact'
params += ' --chimera_volume %s' % self._getFileName(
'OUTPUT_RESOLUTION_FILE_CHIMERA')
params += ' --sym %s' % 'c1'
params += ' --significance %f' % significance
params += ' --md_outputdata %s' % self._getTmpPath('mask_data.xmd')
params += ' --threads %i' % self.numberOfThreads.get()
self.runJob('xmipp_resolution_monogenic_signal', params)
def ifNomask(self, fnVol):
xdim, _ydim, _zdim = self.inputVolume.get().getDim()
params = ' -i %s' % fnVol
params += ' -o %s' % self._getFileName(FN_GAUSSIAN_MAP)
setsize = 0.02 * xdim
params += ' --fourier real_gaussian %f' % (setsize)
self.runJob('xmipp_transform_filter', params)
img = ImageHandler().read(self._getFileName(FN_GAUSSIAN_MAP))
imgData = img.getData()
max_val = np.amax(imgData) * 0.05
params = ' -i %s' % self._getFileName(FN_GAUSSIAN_MAP)
params += ' --select below %f' % max_val
params += ' --substitute binarize'
params += ' -o %s' % self._getFileName(BINARY_MASK)
self.runJob('xmipp_transform_threshold', params)
self.maskFn = self._getFileName(BINARY_MASK)
def _showColorSlices(self, fileName, setrangelimits, titleFigure, lowlim,
highlim):
imageFile = self.protocol._getExtraPath(fileName)
img = ImageHandler().read(imageFile)
imgData = img.getData()
imgData2 = np.ma.masked_where(imgData < 0.001, imgData, copy=True)
if setrangelimits is True:
fig, im = self._plotVolumeSlices(titleFigure,
imgData2,
lowlim,
highlim,
self.getColorMap(),
dataAxis=self._getAxis())
else:
md = MetaData()
md.read(self.protocol._getExtraPath(OUTPUT_THRESHOLDS_FILE))
idx = 1
val1 = md.getValue(MDL_RESOLUTION_FREQ, idx)
val2 = md.getValue(MDL_RESOLUTION_FREQ2, idx)
if val1 >= val2:
max_Res = val1 + 0.01
else:
max_Res = val2
# max_Res = np.nanmax(imgData2)
min_Res = np.nanmin(imgData2)
fig, im = self._plotVolumeSlices(titleFigure,
imgData2,
min_Res,
max_Res,
self.getColorMap(),
dataAxis=self._getAxis())
cax = fig.add_axes([0.9, 0.1, 0.03, 0.8])
cbar = fig.colorbar(im, cax=cax)
cbar.ax.invert_yaxis()
return plt.show(fig)
def ifNomask(self, fnVol):
if self.halfVolumes:
xdim, _ydim, _zdim = self.inputVolume.get().getDim()
params = ' -i %s' % fnVol
else:
xdim, _ydim, _zdim = self.inputVolumes.get().getDim()
params = ' -i %s' % fnVol
params += ' -o %s' % self._getFileName(FN_GAUSSIAN_MAP)
setsize = 0.02*xdim
params += ' --fourier real_gaussian %f' % (setsize)
self.runJob('xmipp_transform_filter', params)
img = ImageHandler().read(self._getFileName(FN_GAUSSIAN_MAP))
imgData = img.getData()
max_val = np.amax(imgData)*0.05
params = ' -i %s' % self._getFileName(FN_GAUSSIAN_MAP)
params += ' --select below %f' % max_val
params += ' --substitute binarize'
params += ' -o %s' % self._getFileName(BINARY_MASK)
self.runJob('xmipp_transform_threshold', params)
self.maskFn = self._getFileName(BINARY_MASK)
def getMinMax(self, imageFile):
img = ImageHandler().read(imageFile)
imgData = img.getData()
min_res = round(np.amin(imgData) * 100) / 100
max_res = round(np.amax(imgData) * 100) / 100
return min_res, max_res
