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# coding: utf-8
#
# Project: FabIO X-ray image reader
#
# Copyright (C) 2010-2016 European Synchrotron Radiation Facility
# Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
"""MRC image for FabIO
Authors: Jerome Kieffer
email: Jerome.Kieffer@terre-adelie.org
Specifications from:
http://ami.scripps.edu/software/mrctools/mrc_specification.php
New version on:
https://www.ccpem.ac.uk/mrc_format/mrc_format.php
https://www.fei-software-center.com/tem-apps/MRC-2014-Specifications/
"""
__authors__ = ["Jérôme Kieffer"]
__contact__ = "Jerome.Kieffer@terre-adelie.org"
__license__ = "MIT"
__copyright__ = "Jérôme Kieffer"
__date__ = "23/04/2021"
import logging
import numpy
from .fabioimage import FabioImage
from .fabioutils import previous_filename, next_filename
logger = logging.getLogger(__name__)
class MrcImage(FabioImage):
"""
FabIO image class for Images from a mrc image stack
"""
DESCRIPTION = "Medical Research Council file format for 3D electron density and 2D images"
DEFAULT_EXTENSIONS = ["mrc", "map", "fei"]
KEYS = ("NX", "NY", "NZ", "MODE", "NXSTART", "NYSTART", "NZSTART",
"MX", "MY", "MZ", "CELL_A", "CELL_B", "CELL_C",
"CELL_ALPHA", "CELL_BETA", "CELL_GAMMA",
"MAPC", "MAPR", "MAPS", "DMIN", "DMAX", "DMEAN", "ISPG", "NSYMBT",
"EXTRA", "ORIGIN", "MAP", "MACHST", "RMS", "NLABL")
_MODE_TO_DTYPE = {
0: numpy.int8,
1: numpy.int16,
2: numpy.float32,
3: numpy.complex64,
4: numpy.complex64,
6: numpy.uint16
}
def _readheader(self, infile):
"""
Read and decode the header of an image:
:param infile: Opened python file (can be stringIO or bipped file)
"""
# list of header key to keep the order (when writing)
self.header = self.check_header()
# header is composed of 56-int32 plus 10x80char lines
int_block = numpy.frombuffer(infile.read(56 * 4), dtype=numpy.int32)
for key, value in zip(self.KEYS, int_block):
self.header[key] = value
# convert some headers ...
self.header["MAP"] = self.header["MAP"].tobytes().decode()
if self.header["MAP"][:3] not in ('MAP ', 'FEI'):
logger.info("Expected 'MAP ', got %s", self.header["MAP"])
for i in range(10):
label = "LABEL_%02i" % i
self.header[label] = infile.read(80).decode().strip()
# Read extended header
self.header["extended"] = infile.read(self.header["NSYMBT"])
dim1 = int(self.header["NX"])
dim2 = int(self.header["NY"])
self._shape = dim2, dim1
self._nframes = self.header["NZ"]
mode = self.header["MODE"]
if mode not in self._MODE_TO_DTYPE:
raise IOError("Mode %s unsupported" % mode)
dtype = numpy.dtype(self._MODE_TO_DTYPE[mode])
self._dtype = dtype
self.imagesize = dim1 * dim2 * dtype.itemsize
def read(self, fname, frame=None):
"""
try to read image
:param fname: name of the file
:param frame:
"""
self.resetvals()
self.sequencefilename = fname
self.currentframe = frame or 0
with self._open(fname) as infile:
self._readheader(infile)
self._readframe(infile, self.currentframe)
return self
def _calc_offset(self, frame):
"""
Calculate the frame position in the file
:param frame: frame number
"""
assert frame < self.nframes
return 1024 + self.header["NSYMBT"] + frame * self.imagesize
def _makeframename(self):
self.filename = "%s$%04d" % (self.sequencefilename,
self.currentframe)
def _readframe(self, infile, img_num):
"""
Read a frame an populate data
:param infile: opened file
:param img_num: frame number (int)
"""
if (img_num > self.nframes or img_num < 0):
raise RuntimeError("Requested frame number is out of range")
infile.seek(self._calc_offset(img_num), 0)
data_buffer = infile.read(self.imagesize)
data = numpy.frombuffer(data_buffer, self._dtype).copy()
data.shape = self._shape
self.data = data
self._shape = None
self._dtype = None
self.currentframe = int(img_num)
self._makeframename()
def getframe(self, num):
"""
Returns a frame as a new FabioImage object
:param num: frame number
"""
if num < 0 or num > self.nframes:
raise RuntimeError("Requested frame number is out of range")
# Do a deep copy of the header to make a new one
frame = MrcImage(header=self.header.copy())
for key in ("dim1", "dim2", "nframes", "bytecode", "imagesize", "sequencefilename"):
frame.__setattr__(key, self.__getattribute__(key))
with frame._open(self.sequencefilename, "rb") as infile:
frame._readframe(infile, num)
return frame
def next(self):
"""
Get the next image in a series as a fabio image
"""
if self.currentframe < (self.nframes - 1) and self.nframes > 1:
return self.getframe(self.currentframe + 1)
else:
newobj = MrcImage()
newobj.read(next_filename(self.sequencefilename))
return newobj
def previous(self):
"""
Get the previous image in a series as a fabio image
"""
if self.currentframe > 0:
return self.getframe(self.currentframe - 1)
else:
newobj = MrcImage()
newobj.read(previous_filename(
self.sequencefilename))
return newobj
mrcimage = MrcImage
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