def __post_init__(self):
# get directory and filename etc.
self.dirname = os.path.dirname(self.filepath)
self.filename = os.path.basename(self.filepath)
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(self.filepath) as czidoc:
md_dict = czidoc.metadata
# get acquisition data and SW version
try:
self.software_name = md_dict["ImageDocument"]["Metadata"][
"Information"]["Application"]["Name"]
self.software_version = md_dict["ImageDocument"]["Metadata"][
"Information"]["Application"]["Version"]
except (KeyError, TypeError) as e:
print("Key not found:", e)
self.software_name = None
self.software_version = None
try:
self.acquisition_date = md_dict["ImageDocument"]["Metadata"][
"Information"]["Image"]["AcquisitionDateAndTime"]
except (KeyError, TypeError) as e:
print("Key not found:", e)
self.acquisition_date = None
def writexml(filename: str, xmlsuffix: str = '_CZI_MetaData.xml') -> str:
"""Write XML information of CZI to disk
:param filename: CZI image filename
:type filename: str
:param xmlsuffix: suffix for the XML file that will be created, defaults to '_CZI_MetaData.xml'
:type xmlsuffix: str, optional
:return: filename of the XML file
:rtype: str
"""
# get the raw metadata as a XML or dictionary
with pyczi.open_czi(filename) as czidoc:
metadata_xmlstr = czidoc.raw_metadata
# change file name
xmlfile = filename.replace('.czi', xmlsuffix)
# get tree from string
tree = ET.ElementTree(ET.fromstring(metadata_xmlstr))
# write XML file to same folder
tree.write(xmlfile, encoding='utf-8', method='xml')
return xmlfile
def __init__(self, filename: str):
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
self.md = DictObj(md_dict)
def __init__(self, filename: str, dim2none: bool = True) -> None:
# get metadata dictionary using pylibCZIrw
self.scalefactorXY = None
self.ratio_sf = None
self.Y_sf = None
self.X_sf = None
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
def _safe_get_scale(distances_: List[Dict[Any, Any]],
idx: int) -> Optional[float]:
try:
return np.round(
float(distances_[idx]["Value"]) * 1000000,
3) if distances_[idx]["Value"] is not None else None
except IndexError:
if dim2none:
return None
if not dim2none:
# use scaling = 1.0 micron as fallback
return 1.0
try:
distances = md_dict["ImageDocument"]["Metadata"]["Scaling"][
"Items"]["Distance"]
except KeyError:
if dim2none:
self.X = None
self.Y = None
self.Z = None
if not dim2none:
self.X = 1.0
self.Y = 1.0
self.Z = 1.0
# get the scaling in [micron] - inside CZI the default is [m]
self.X = _safe_get_scale(distances, 0)
self.Y = _safe_get_scale(distances, 1)
self.Z = _safe_get_scale(distances, 2)
# safety check in case a scale = 0
if self.X == 0.0:
self.X = 1.0
if self.Y == 0.0:
self.Y = 1.0
if self.Z == 0.0:
self.Z = 1.0
# set the scaling unit to [micron]
self.Unit = "micron"
# get scaling ratio
self.ratio = self.get_scale_ratio(scalex=self.X,
scaley=self.Y,
scalez=self.Z)
def read_mdarray(filename: str,
remove_Adim: bool = True) -> Tuple[np.ndarray, str]:
# get the complete metadata at once as one big class
mdata = czimd.CziMetadata(filename)
# open the CZI document to read the
with pyczi.open_czi(filename) as czidoc:
if mdata.image.SizeS is not None:
# get size for a single scene using the 1st
# works only if scene shape is consistent
size_x = mdata.bbox.all_scenes[0].w
size_y = mdata.bbox.all_scenes[0].h
if mdata.image.SizeS is None:
size_x = mdata.image.SizeX
size_y = mdata.image.SizeY
# check if dimensions are None (because they do not exist for that image)
size_c = misc.check_dimsize(mdata.image.SizeC, set2value=1)
size_z = misc.check_dimsize(mdata.image.SizeZ, set2value=1)
size_t = misc.check_dimsize(mdata.image.SizeT, set2value=1)
size_s = misc.check_dimsize(mdata.image.SizeS, set2value=1)
# define the dimension order to be STZCYXA
dimstring = "STZCYXA"
array_md = np.empty([
size_s, size_t, size_z, size_c, size_y, size_x,
3 if mdata.isRGB else 1
],
dtype=mdata.npdtype)
# read array for the scene
for s, t, z, c in product(range(size_s), range(size_t), range(size_z),
range(size_c)):
if mdata.image.SizeS is None:
image2d = czidoc.read(plane={'T': t, 'Z': z, 'C': c})
else:
image2d = czidoc.read(plane={'T': t, 'Z': z, 'C': c}, scene=s)
# check if the image2d is really not too big
if (mdata.bbox.total_bounding_box["X"][1] > mdata.image.SizeX or
mdata.bbox.total_bounding_box["Y"][1] > mdata.image.SizeY):
image2d = image2d[..., 0:mdata.image.SizeY,
0:mdata.image.SizeX, :]
array_md[s, t, z, c, ...] = image2d
if remove_Adim:
dimstring.replace("A", "")
array_md = np.squeeze(array_md, axis=-1)
return array_md, dimstring
def __init__(self, filename: str, sceneindex: int) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
self.bbox = czidoc.scenes_bounding_rectangle[sceneindex]
self.xstart = self.bbox.x
self.ystart = self.bbox.y
self.width = self.bbox.w
self.height = self.bbox.h
self.index = sceneindex
def read_5d(filename: str,
sizes: Tuple[int, int, int, int, int],
s: int,
mdata: czimd.CziMetadata,
remove_Adim: bool = True) -> np.ndarray:
array_md = da.empty([
sizes[0], sizes[1], sizes[2], sizes[3], sizes[4],
3 if mdata.isRGB else 1
],
dtype=mdata.npdtype)
# open the CZI document to read the
with pyczi.open_czi(filename) as czidoc:
# read array for the scene
for t, z, c in product(range(sizes[0]), range(sizes[1]),
range(sizes[2])):
if mdata.image.SizeS is None:
image2d = czidoc.read()
else:
image2d = czidoc.read(plane={
'T': t,
'Z': z,
'C': c
},
scene=s)
# check if the image2d is really not too big
if mdata.pyczi_dims["X"][
1] > mdata.image.SizeX or mdata.pyczi_dims["Y"][
1] > mdata.image.SizeY:
image2d = image2d[..., 0:mdata.image.SizeY,
0:mdata.image.SizeX, :]
array_md[t, z, c, ...] = image2d
if remove_Adim:
array_md = np.squeeze(array_md, axis=-1)
return array_md
def __post_init__(self):
with pyczi.open_czi(self.filename) as czidoc:
try:
self.all_scenes = czidoc.scenes_bounding_rectangle
except Exception as e:
self.all_scenes = None
print("Scenes Bounding rectangle not found.", e)
try:
self.total_rect = czidoc.total_bounding_rectangle
except Exception as e:
self.total_rect = None
print("Total Bounding rectangle not found.", e)
try:
self.total_bounding_box = czidoc.total_bounding_box
except Exception as e:
self.total_bounding_box = None
print("Total Bounding Box not found.", e)
def __init__(self, filename: str) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
try:
self.experiment = md_dict["ImageDocument"]["Metadata"][
"Experiment"]
except (KeyError, TypeError) as e:
print("Key not found :", e)
self.experiment = None
try:
self.hardwaresetting = md_dict["ImageDocument"]["Metadata"][
"HardwareSetting"]
except (KeyError, TypeError) as e:
print("Key not found :", e)
self.hardwaresetting = None
try:
self.customattributes = md_dict["ImageDocument"]["Metadata"][
"CustomAttributes"]
except (KeyError, TypeError) as e:
print("Key not found :", e)
self.customattributes = None
try:
self.displaysetting = md_dict["ImageDocument"]["Metadata"][
"DisplaySetting"]
except (KeyError, TypeError) as e:
print("Key not found :", e)
self.displaysetting = None
try:
self.layers = md_dict["ImageDocument"]["Metadata"]["Layers"]
except (KeyError, TypeError) as e:
print("Key not found :", e)
self.layers = None
def __init__(self, filename: str) -> None:
self.SizeX = None
self.SizeY = None
self.SizeS = None
self.SizeT = None
self.SizeZ = None
self.SizeC = None
self.SizeM = None
self.SizeR = None
self.SizeH = None
self.SizeI = None
self.SizeV = None
self.SizeB = None
self.SizeX_sf = None
self.SizeY_sf = None
with pyczi.open_czi(filename) as czidoc_r:
dim_dict = self.get_image_dimensions(czidoc_r.metadata)
for key in dim_dict:
setattr(self, key, dim_dict[key])
def __init__(self, filename: str) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
self.ID = None
self.Name = None
# check if there are any microscope entry inside the dictionary
if pydash.objects.has(md_dict, [
"ImageDocument", "Metadata", "Information", "Instrument",
"Microscopes"
]):
# check for detector ID
try:
self.ID = md_dict["ImageDocument"]["Metadata"]["Information"][
"Instrument"]["Microscopes"]["Microscope"]["Id"]
except (KeyError, TypeError) as e:
try:
self.ID = md_dict["ImageDocument"]["Metadata"][
"Information"]["Instrument"]["Microscopes"][
"Microscope"]["@Id"]
except (KeyError, TypeError) as e:
print("Microscope ID not found :", e)
self.ID = None
# check for microscope system name
try:
self.Name = md_dict["ImageDocument"]["Metadata"][
"Information"]["Instrument"]["Microscopes"]["Microscope"][
"System"]
except (KeyError, TypeError) as e:
print("Microscope System Name not found :", e)
self.Name = None
if file.endswith(ext):
print("Processing CZI file:", file)
cziname = file
cziname_NUC = file[:-4] + "_onlyFL"
cziname_TL = file[:-4] + "_onlyTL"
# get the scaling from the CZI
cziscale = czimd.CziScaling(os.path.join(basefolder, cziname))
pixels_physical_sizes = [1, cziscale.X, cziscale.Y]
scale_forward = target_scaleXY / cziscale.X
new_shapeXY = int(np.round(tilesize * scale_forward, 0))
# open a CZI instance to read and in parallel one to write
with pyczi.open_czi(os.path.join(basefolder, file)) as czidoc_r:
if use_tiles:
tilecounter = 0
# create a "tile" by specifying the desired tile dimension and minimum required overlap
tiler = AlmostEqualBorderFixedTotalAreaStrategy2D(
total_tile_width=tilesize,
total_tile_height=tilesize,
min_border_width=8)
# get the size of the bounding rectangle for the scene
tiles = tiler.tile_rectangle(
czidoc_r.scenes_bounding_rectangle[0])
#filename = r'/datadisk1/tuxedo/testpictures/Testdata_Zeiss/CZI_Testfiles/S=2_3x3_T=3_Z=4_CH=2.czi'
#filename = r'/datadisk1/tuxedo/testpictures/Testdata_Zeiss/CZI_Testfiles/S=2_3x3_T=1_Z=4_CH=2.czi'
#filename = r'/datadisk1/tuxedo/testpictures/Testdata_Zeiss/CZI_Testfiles/S=2_3x3_T=3_Z=1_CH=2.czi'
#filename = r'/datadisk1/tuxedo/testpictures/Testdata_Zeiss/CZI_Testfiles/S=2_3x3_T=3_Z=4_CH=2.czi'
#filename = r'/datadisk1/tuxedo/testpictures/Testdata_Zeiss/CZI_Testfiles/S=1_HE_Slide_RGB.czi'
#filename = r'/datadisk1/tuxedo/testpictures/Testdata_Zeiss/CZI_Testfiles/Multiscene_CZI_3Scenes.czi'
#filename = r'c:\Users\m1srh\Downloads\Overview.czi'
#filename = r'd:\Testdata_Zeiss\LatticeLightSheet\LS_Mitosis_T=150-300.czi'
#filename = r"D:\Testdata_Zeiss\CZI_Testfiles\strange_no_SizeC.czi"
#filename = r"D:\Testdata_Zeiss\CZI_Testfiles\ab0451_CH1_scale_libCZI_issue.czi"
# get the complete metadata at once as one big class
mdata = czimd.CziMetadata(filename)
# open the CZI document to read the
czidoc = pyczi.open_czi(filename)
# show all dimensions
total_bbox = czidoc.total_bounding_box
for k, v in total_bbox.items():
print(k, v)
# get information about the scenes etc.
sc_bbox = czidoc.scenes_bounding_rectangle
total_rect = czidoc.total_bounding_rectangle
pixeltype_ch = czidoc.get_channel_pixel_type(0)
pixeltypes = czidoc.pixel_types
print('Real Pixeltypes in CZI file : ', pixeltypes)
# read a simple 2d image plane
roi = (300, 300, 300, 600)
def __init__(self, filename: str) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
# check for well information
self.well_array_names = []
self.well_indices = []
self.well_position_names = []
self.well_colID = []
self.well_rowID = []
self.well_counter = []
self.scene_stageX = []
self.scene_stageY = []
try:
# get S-Dimension
SizeS = np.int(md_dict["ImageDocument"]["Metadata"]["Information"]
["Image"]["SizeS"])
print(
"Trying to extract Scene and Well information if existing ...")
# extract well information from the dictionary
allscenes = md_dict["ImageDocument"]["Metadata"]["Information"][
"Image"]["Dimensions"]["S"]["Scenes"]["Scene"]
# loop over all detected scenes
for s in range(sizeS):
if SizeS == 1:
well = allscenes
try:
self.well_array_names.append(allscenes["ArrayName"])
except (KeyError, TypeError) as e:
try:
self.well_array_names.append(well["Name"])
except (KeyError, TypeError) as e:
# print("Well Name not found :", e)
try:
self.well_array_names.append(well["@Name"])
except (KeyError, TypeError) as e:
# print("Well @Name not found :", e)
print("Well Name not found :", e,
"Using A1 instead")
self.well_array_names.append("A1")
try:
self.well_indices.append(allscenes["Index"])
except (KeyError, TypeError) as e:
try:
self.well_indices.append(allscenes["@Index"])
except (KeyError, TypeError) as e:
print("Well Index not found :", e)
self.well_indices.append(1)
try:
self.well_position_names.append(allscenes["Name"])
except (KeyError, TypeError) as e:
try:
self.well_position_names.append(allscenes["@Name"])
except (KeyError, TypeError) as e:
print("Well Position Names not found :", e)
self.well_position_names.append("P1")
try:
self.well_colID.append(
np.int(allscenes["Shape"]["ColumnIndex"]))
except (KeyError, TypeError) as e:
print("Well ColumnIDs not found :", e)
self.well_colID.append(0)
try:
self.well_rowID.append(
np.int(allscenes["Shape"]["RowIndex"]))
except (KeyError, TypeError) as e:
print("Well RowIDs not found :", e)
self.well_rowID.append(0)
try:
# count the content of the list, e.g. how many time a certain well was detected
self.well_counter = Counter(self.well_array_names)
except (KeyError, TypeError):
self.well_counter.append(Counter({"A1": 1}))
try:
# get the SceneCenter Position
sx = allscenes["CenterPosition"].split(",")[0]
sy = allscenes["CenterPosition"].split(",")[1]
self.scene_stageX.append(np.double(sx))
self.scene_stageY.append(np.double(sy))
except (TypeError, (KeyError, TypeError)) as e:
print("Stage Positions XY not found :", e)
self.scene_stageX.append(0.0)
self.scene_stageY.append(0.0)
if SizeS > 1:
try:
well = allscenes[s]
self.well_array_names.append(well["ArrayName"])
except (KeyError, TypeError) as e:
try:
self.well_array_names.append(well["Name"])
except (KeyError, TypeError) as e:
# print("Well Name not found :", e)
try:
self.well_array_names.append(well["@Name"])
except (KeyError, TypeError) as e:
# print("Well @Name not found :", e)
print("Well Name not found. Using A1 instead")
self.well_array_names.append("A1")
# get the well information
try:
self.well_indices.append(well["Index"])
except (KeyError, TypeError) as e:
try:
self.well_indices.append(well["@Index"])
except (KeyError, TypeError) as e:
print("Well Index not found :", e)
self.well_indices.append(None)
try:
self.well_position_names.append(well["Name"])
except (KeyError, TypeError) as e:
try:
self.well_position_names.append(well["@Name"])
except (KeyError, TypeError) as e:
print("Well Position Names not found :", e)
self.well_position_names.append(None)
try:
self.well_colID.append(
np.int(well["Shape"]["ColumnIndex"]))
except (KeyError, TypeError) as e:
print("Well ColumnIDs not found :", e)
self.well_colID.append(None)
try:
self.well_rowID.append(
np.int(well["Shape"]["RowIndex"]))
except (KeyError, TypeError) as e:
print("Well RowIDs not found :", e)
self.well_rowID.append(None)
# count the content of the list, e.g. how many time a certain well was detected
self.well_counter = Counter(self.well_array_names)
# try:
if isinstance(allscenes, list):
try:
# get the SceneCenter Position
sx = allscenes[s]["CenterPosition"].split(",")[0]
sy = allscenes[s]["CenterPosition"].split(",")[1]
self.scene_stageX.append(np.double(sx))
self.scene_stageY.append(np.double(sy))
except (KeyError, TypeError) as e:
print("Stage Positions XY not found :", e)
self.scene_stageX.append(0.0)
self.scene_stageY.append(0.0)
if not isinstance(allscenes, list):
self.scene_stageX.append(0.0)
self.scene_stageY.append(0.0)
# count the number of different wells
self.number_wells = len(self.well_counter.keys())
except (KeyError, TypeError) as e:
print("No valid Scene or Well information found:", e)
def __init__(self, filename: str) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
# get detector information
self.model = []
self.name = []
self.ID = []
self.modeltype = []
self.instrumentID = []
# check if there are any detector entries inside the dictionary
if pydash.objects.has(md_dict, [
"ImageDocument", "Metadata", "Information", "Instrument",
"Detectors"
]):
if isinstance(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"], list):
num_detectors = len(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"])
else:
num_detectors = 1
# if there is only one detector found
if num_detectors == 1:
# check for detector ID
try:
self.ID.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"]["Id"])
except (KeyError, TypeError) as e:
print("DetectorID not found :", e)
self.ID.append(None)
# check for detector Name
try:
self.name.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"]["Name"])
except (KeyError, TypeError) as e:
print("DetectorName not found :", e)
self.name.append(None)
# check for detector model
try:
self.model.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"]["Manufacturer"]
["Model"])
except (KeyError, TypeError) as e:
print("DetectorModel not found :", e)
self.model.append(None)
# check for detector modeltype
try:
self.modeltype.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"]["Type"])
except (KeyError, TypeError) as e:
print("DetectorType not found :", e)
self.modeltype.append(None)
if num_detectors > 1:
for d in range(num_detectors):
# check for detector ID
try:
self.ID.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"][d]["Id"])
except (KeyError, TypeError) as e:
print("DetectorID not found :", e)
self.ID.append(None)
# check for detector Name
try:
self.name.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"][d]["Name"])
except (KeyError, TypeError) as e:
print("DetectorName not found :", e)
self.name.append(None)
# check for detector model
try:
self.model.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"][d]
["Manufacturer"]["Model"])
except (KeyError, TypeError) as e:
print("DetectorModel not found :", e)
self.model.append(None)
# check for detector modeltype
try:
self.modeltype.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Detectors"]["Detector"][d]["Type"])
except (KeyError, TypeError) as e:
print("DetectorType not found :", e)
self.modeltype.append(None)
def __init__(self, filename: str, dim2none: bool = False) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
# get directory, filename, SW version and acquisition data
self.info = CziInfo(filename)
# get dimensions
self.pyczi_dims = czidoc.total_bounding_box
# get some additional metadata using aicspylibczi
try:
from aicspylibczi import CziFile
# get the general CZI object using aicspylibczi
aicsczi = CziFile(filename)
self.aics_dimstring = aicsczi.dims
self.aics_dims_shape = aicsczi.get_dims_shape()
self.aics_size = aicsczi.size
self.aics_ismosaic = aicsczi.is_mosaic()
self.aics_dim_order, self.aics_dim_index, self.aics_dim_valid = self.get_dimorder(
aicsczi.dims)
self.aics_posC = self.aics_dim_order["C"]
except ImportError as e:
print("Use Fallback values because:", e)
self.aics_dimstring = None
self.aics_dims_shape = None
self.aics_size = None
self.aics_ismosaic = None
self.aics_dim_order = None
self.aics_dim_index = None
self.aics_dim_valid = None
self.aics_posC = None
# get the pixel typed for all channels
self.pixeltypes = czidoc.pixel_types
self.isRGB = False
# determine pixel type for CZI array by reading XML metadata
self.pixeltype = md_dict["ImageDocument"]["Metadata"][
"Information"]["Image"]["PixelType"]
# check if CZI is a RGB file
if self.pixeltype in ["Bgr24", "Bgr48", "Bgr96Float"]:
self.isRGB = True
# determine pixel type for CZI array
self.npdtype, self.maxvalue = self.get_dtype_fromstring(
self.pixeltype)
# get the dimensions and order
self.image = CziDimensions(filename)
# try to guess if the CZI is a mosaic file
if self.image.SizeM is None or self.image.SizeM == 1:
self.ismosaic = False
else:
self.ismosaic = True
# get the bounding boxes
self.bbox = CziBoundingBox(filename)
# get information about channels
self.channelinfo = CziChannelInfo(filename)
# get scaling info
self.scale = CziScaling(filename, dim2none=dim2none)
# get objetive information
self.objective = CziObjectives(filename)
# get detector information
self.detector = CziDetector(filename)
# get detector information
self.microscope = CziMicroscope(filename)
# get information about sample carrier and wells etc.
self.sample = CziSampleInfo(filename)
# get additional metainformation
self.add_metadata = CziAddMetaData(filename)
def __init__(self, filename: str) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
self.NA = []
self.mag = []
self.ID = []
self.name = []
self.immersion = []
self.tubelensmag = []
self.nominalmag = []
# check if Instrument metadata actually exist
if pydash.objects.has(md_dict, [
"ImageDocument", "Metadata", "Information", "Instrument",
"Objectives"
]):
# get objective data
try:
if isinstance(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"], list):
num_obj = len(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"])
else:
num_obj = 1
except (KeyError, TypeError) as e:
num_obj = 0 # no objective found
# if there is only one objective found
if num_obj == 1:
try:
self.name.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"]["Name"])
except (KeyError, TypeError) as e:
print("No Objective Name :", e)
self.name.append(None)
try:
self.immersion = md_dict["ImageDocument"]["Metadata"][
"Information"]["Instrument"]["Objectives"][
"Objective"]["Immersion"]
except (KeyError, TypeError) as e:
print("No Objective Immersion :", e)
self.immersion = None
try:
self.NA = np.float(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"]["LensNA"])
except (KeyError, TypeError) as e:
print("No Objective NA :", e)
self.NA = None
try:
self.ID = md_dict["ImageDocument"]["Metadata"][
"Information"]["Instrument"]["Objectives"][
"Objective"]["Id"]
except (KeyError, TypeError) as e:
print("No Objective ID :", e)
self.ID = None
try:
self.tubelensmag = np.float(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["TubeLenses"]["TubeLens"]
["Magnification"])
except (KeyError, TypeError) as e:
print("No Tubelens Mag. :", e,
"Using Default Value = 1.0.")
self.tubelensmag = 1.0
try:
self.nominalmag = np.float(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"]
["NominalMagnification"])
except (KeyError, TypeError) as e:
print("No Nominal Mag.:", e, "Using Default Value = 1.0.")
self.nominalmag = 1.0
try:
if self.tubelensmag is not None:
self.mag = self.nominalmag * self.tubelensmag
if self.tubelensmag is None:
print(
"Using Tublens Mag = 1.0 for calculating Objective Magnification."
)
self.mag = self.nominalmag * 1.0
except (KeyError, TypeError) as e:
print("No Objective Magnification :", e)
self.mag = None
if num_obj > 1:
for o in range(num_obj):
try:
self.name.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"][o]
["Name"])
except (KeyError, TypeError) as e:
print("No Objective Name :", e)
self.name.append(None)
try:
self.immersion.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"][o]
["Immersion"])
except (KeyError, TypeError) as e:
print("No Objective Immersion :", e)
self.immersion.append(None)
try:
self.NA.append(
np.float(md_dict["ImageDocument"]["Metadata"]
["Information"]["Instrument"]
["Objectives"]["Objective"][o]["LensNA"]))
except (KeyError, TypeError) as e:
print("No Objective NA :", e)
self.NA.append(None)
try:
self.ID.append(
md_dict["ImageDocument"]["Metadata"]["Information"]
["Instrument"]["Objectives"]["Objective"][o]["Id"])
except (KeyError, TypeError) as e:
print("No Objective ID :", e)
self.ID.append(None)
try:
self.tubelensmag.append(
np.float(
md_dict["ImageDocument"]["Metadata"]
["Information"]["Instrument"]["TubeLenses"]
["TubeLens"][o]["Magnification"]))
except (KeyError, TypeError) as e:
print("No Tubelens Mag. :", e,
"Using Default Value = 1.0.")
self.tubelensmag.append(1.0)
try:
self.nominalmag.append(
np.float(
md_dict["ImageDocument"]["Metadata"]
["Information"]["Instrument"]["Objectives"]
["Objective"][o]["NominalMagnification"]))
except (KeyError, TypeError) as e:
print("No Nominal Mag. :", e,
"Using Default Value = 1.0.")
self.nominalmag.append(1.0)
try:
if self.tubelensmag is not None:
self.mag.append(self.nominalmag[o] *
self.tubelensmag[o])
if self.tubelensmag is None:
print(
"Using Tublens Mag = 1.0 for calculating Objective Magnification."
)
self.mag.append(self.nominalmag[o] * 1.0)
except (KeyError, TypeError) as e:
print("No Objective Magnification :", e)
self.mag.append(None)
def get_metadata_czi(filename, dim2none=False, convert_scunit=True):
"""
Returns a dictionary with CZI metadata.
Information CZI Dimension Characters:
- '0':'Sample', # e.g. RGBA
- 'X':'Width',
- 'Y':'Height',
- 'C':'Channel',
- 'Z':'Slice', # depth
- 'T':'Time',
- 'R':'Rotation',
- 'S':'Scene', # contiguous regions of interest in a mosaic image
- 'I':'Illumination', # direction
- 'B':'Block', # acquisition
- 'M':'Mosaic', # index of tile for compositing a scene
- 'H':'Phase', # e.g. Airy detector fibers
- 'V':'View', # e.g. for SPIM
:param filename: filename of the CZI image
:type filename: str
:param dim2none: option to set non-existing dimension to None, defaults to False
:type dim2none: bool, optional
:param convert_scunit: convert scale unit string from 'µm' to 'micron', defaults to False
:type convert_scunit: bool, optional
:return: metadata, metadata_add - dictionaries with the relevant CZI metainformation
:rtype: dict
"""
# get metadata dictionary using pylibCZIrw
czidoc = pyczi.open_czi(filename)
metadatadict_czi = xmltodict.parse(czidoc.raw_metadata)
# get czi object aicspylibczi
aicsczi = CziFile(filename)
# initialize metadata dictionary
metadata = create_metadata_dict()
# get directory and filename etc.
metadata['Directory'] = os.path.dirname(filename)
metadata['Filename'] = os.path.basename(filename)
metadata['Extension'] = 'czi'
metadata['ImageType'] = 'czi'
# get additional data by using aicspylibczi directly
metadata['aicsczi_dims'] = aicsczi.dims
metadata['aicsczi_dims_shape'] = aicsczi.get_dims_shape()
metadata['aicsczi_size'] = aicsczi.size
metadata['isMosaic'] = aicsczi.is_mosaic()
print('CZI is Mosaic :', metadata['isMosaic'])
# get the dimensions of the bounding boxes for the scenes
# metadata['BBoxes_Scenes'] = getbboxes_allscenes(czi, metadata, numscenes=metadata['SizeS'])
metadata['bbox_all_scenes'] = aicsczi.get_all_scene_bounding_boxes()
if aicsczi.is_mosaic():
metadata[
'bbox_all_mosaic_scenes'] = aicsczi.get_all_mosaic_scene_bounding_boxes(
)
metadata[
'bbox_all_mosaic_tiles'] = aicsczi.get_all_mosaic_tile_bounding_boxes(
)
metadata['bbox_all_tiles'] = aicsczi.get_all_tile_bounding_boxes()
# get additional data by using pylibczirw directly
metadata['pyczi_dims'] = czidoc.total_bounding_box
metadata['pyczi_bbox_scenes'] = czidoc.scenes_bounding_rectangle
metadata['pyczi_total_rect'] = czidoc.total_bounding_rectangle
# check which dimension exist inside this CZI file
metadata = checkdims_czi(czidoc, metadata)
# determine pixel type for CZI array
metadata['NumPy.dtype'] = {}
for ch, px in czidoc.pixel_types.items():
metadata['NumPy.dtype'][ch] = get_dtype_fromstring(px)
if czidoc._is_rgb(czidoc.get_channel_pixel_type(0)):
metadata['isRGB'] = True
#if 'A' in aicsczi.dims:
# metadata['isRGB'] = True
print('CZI is RGB :', metadata['isRGB'])
# determine pixel type for CZI array by reading XML metadata
try:
metadata['PixelType'] = metadatadict_czi['ImageDocument']['Metadata'][
'Information']['Image']['PixelType']
except KeyError as e:
print('No PixelType :', e)
metadata['PixelType'] = None
try:
metadata['SizeX'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeX'])
except KeyError as e:
print('No X Dimension :', e)
metadata['SizeX'] = None
try:
metadata['SizeY'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeY'])
except KeyError as e:
print('No Y Dimension :', e)
metadata['SizeY'] = None
try:
metadata['SizeZ'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeZ'])
except KeyError as e:
print('No Z Dimension :', e)
if dim2none:
metadata['SizeZ'] = None
if not dim2none:
metadata['SizeZ'] = 1
try:
metadata['SizeC'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeC'])
except KeyError as e:
print('No C Dimension :', e)
if dim2none:
metadata['SizeC'] = None
if not dim2none:
metadata['SizeC'] = 1
# get dimension of consitent 5D stack using AICSImageio
#aics_img = AICSImage(filename)
#metadata['czi_dims5D_aics'] = aics_img.dims.order
#metadata['czi_shape5D_aics'] = aics_img.dims.shape
#metadata['czi_dict5D_aics'] = aics_img.dims.__dict__
# create empty lists for channel related information
channels = []
channels_names = []
channels_colors = []
# in case of only one channel
if metadata['SizeC'] == 1:
# get name for dye
try:
channels.append(
metadatadict_czi['ImageDocument']['Metadata']['DisplaySetting']
['Channels']['Channel']['ShortName'])
except KeyError as e:
print('Channel shortname not found :', e)
try:
channels.append(
metadatadict_czi['ImageDocument']['Metadata']
['DisplaySetting']['Channels']['Channel']['DyeName'])
except KeyError as e:
print('Channel dye not found :', e)
channels.append('Dye-CH1')
# get channel name
try:
channels_names.append(
metadatadict_czi['ImageDocument']['Metadata']['DisplaySetting']
['Channels']['Channel']['Name'])
except KeyError as e:
try:
channels_names.append(
metadatadict_czi['ImageDocument']['Metadata']
['DisplaySetting']['Channels']['Channel']['@Name'])
except KeyError as e:
print('Channel name found :', e)
channels_names.append('CH1')
# get channel color
try:
channels_colors.append(
metadatadict_czi['ImageDocument']['Metadata']['DisplaySetting']
['Channels']['Channel']['Color'])
except KeyError as e:
print('Channel color not found :', e)
channels_colors.append('#80808000')
# in case of two or more channels
if metadata['SizeC'] > 1:
# loop over all channels
for ch in range(metadata['SizeC']):
# get name for dyes
try:
channels.append(
metadatadict_czi['ImageDocument']['Metadata']
['DisplaySetting']['Channels']['Channel'][ch]['ShortName'])
except KeyError as e:
print('Channel shortname not found :', e)
try:
channels.append(metadatadict_czi['ImageDocument']
['Metadata']['DisplaySetting']['Channels']
['Channel'][ch]['DyeName'])
except KeyError as e:
print('Channel dye not found :', e)
channels.append('Dye-CH' + str(ch))
# get channel names
try:
channels_names.append(
metadatadict_czi['ImageDocument']['Metadata']
['DisplaySetting']['Channels']['Channel'][ch]['Name'])
except KeyError as e:
try:
channels_names.append(
metadatadict_czi['ImageDocument']['Metadata']
['DisplaySetting']['Channels']['Channel'][ch]['@Name'])
except KeyError as e:
print('Channel name not found :', e)
channels_names.append('CH' + str(ch))
# get channel colors
try:
channels_colors.append(
metadatadict_czi['ImageDocument']['Metadata']
['DisplaySetting']['Channels']['Channel'][ch]['Color'])
except KeyError as e:
print('Channel color not found :', e)
# use grayscale instead
channels_colors.append('80808000')
# write channels information (as lists) into metadata dictionary
metadata['Channels'] = channels
metadata['ChannelNames'] = channels_names
metadata['ChannelColors'] = channels_colors
try:
metadata['SizeT'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeT'])
except KeyError as e:
print('No T Dimension :', e)
if dim2none:
metadata['SizeT'] = None
if not dim2none:
metadata['SizeT'] = 1
try:
metadata['SizeM'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeM'])
except KeyError as e:
print('No M Dimension :', e)
if dim2none:
metadata['SizeM'] = None
if not dim2none:
metadata['SizeM'] = 1
try:
metadata['SizeB'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeB'])
except KeyError as e:
print('No B Dimension :', e)
if dim2none:
metadata['SizeB'] = None
if not dim2none:
metadata['SizeB'] = 1
try:
metadata['SizeS'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeS'])
except KeyError as e:
print('No S Dimension :', e)
if dim2none:
metadata['SizeS'] = None
if not dim2none:
metadata['SizeS'] = 1
try:
metadata['SizeH'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeH'])
except KeyError as e:
print('No H Dimension :', e)
if dim2none:
metadata['SizeH'] = None
if not dim2none:
metadata['SizeH'] = 1
try:
metadata['SizeI'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeI'])
except KeyError as e:
print('No I Dimension :', e)
if dim2none:
metadata['SizeI'] = None
if not dim2none:
metadata['SizeI'] = 1
try:
metadata['SizeV'] = np.int(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Image']['SizeV'])
except KeyError as e:
print('No V Dimension :', e)
if dim2none:
metadata['SizeV'] = None
if not dim2none:
metadata['SizeV'] = 1
# get the XY scaling information
try:
metadata['XScale'] = float(
metadatadict_czi['ImageDocument']['Metadata']['Scaling']['Items']
['Distance'][0]['Value']) * 1000000
metadata['YScale'] = float(
metadatadict_czi['ImageDocument']['Metadata']['Scaling']['Items']
['Distance'][1]['Value']) * 1000000
metadata['XScale'] = np.round(metadata['XScale'], 3)
metadata['YScale'] = np.round(metadata['YScale'], 3)
try:
metadata['XScaleUnit'] = metadatadict_czi['ImageDocument'][
'Metadata']['Scaling']['Items']['Distance'][0][
'DefaultUnitFormat']
metadata['YScaleUnit'] = metadatadict_czi['ImageDocument'][
'Metadata']['Scaling']['Items']['Distance'][1][
'DefaultUnitFormat']
except (KeyError, TypeError) as e:
print('Error extracting XY ScaleUnit :', e)
metadata['XScaleUnit'] = None
metadata['YScaleUnit'] = None
except (KeyError, TypeError) as e:
print('Error extracting XY Scale :', e)
# get the Z scaling information
try:
metadata['ZScale'] = float(
metadatadict_czi['ImageDocument']['Metadata']['Scaling']['Items']
['Distance'][2]['Value']) * 1000000
metadata['ZScale'] = np.round(metadata['ZScale'], 3)
# additional check for faulty z-scaling
if metadata['ZScale'] == 0.0:
metadata['ZScale'] = 1.0
try:
metadata['ZScaleUnit'] = metadatadict_czi['ImageDocument'][
'Metadata']['Scaling']['Items']['Distance'][2][
'DefaultUnitFormat']
except (IndexError, KeyError, TypeError) as e:
print('Error extracting Z ScaleUnit :', e)
metadata['ZScaleUnit'] = metadata['XScaleUnit']
except (IndexError, KeyError, TypeError) as e:
print('Error extracting Z Scale :', e)
if dim2none:
metadata['ZScale'] = None
metadata['ZScaleUnit'] = None
if not dim2none:
# set to isotropic scaling if it was single plane only
metadata['ZScale'] = metadata['XScale']
metadata['ZScaleUnit'] = metadata['XScaleUnit']
# convert scale unit to avoid encoding problems
if convert_scunit:
if metadata['XScaleUnit'] == 'µm':
metadata['XScaleUnit'] = 'micron'
if metadata['YScaleUnit'] == 'µm':
metadata['YScaleUnit'] = 'micron'
if metadata['ZScaleUnit'] == 'µm':
metadata['ZScaleUnit'] = 'micron'
# try to get software version
try:
metadata['SW-Name'] = metadatadict_czi['ImageDocument']['Metadata'][
'Information']['Application']['Name']
metadata['SW-Version'] = metadatadict_czi['ImageDocument']['Metadata'][
'Information']['Application']['Version']
except KeyError as e:
print('Key not found:', e)
metadata['SW-Name'] = None
metadata['SW-Version'] = None
try:
metadata['AcqDate'] = metadatadict_czi['ImageDocument']['Metadata'][
'Information']['Image']['AcquisitionDateAndTime']
except KeyError as e:
print('Key not found:', e)
metadata['AcqDate'] = None
# check if Instrument metadata actually exist
if pydash.objects.has(
metadatadict_czi,
['ImageDocument', 'Metadata', 'Information', 'Instrument']):
if metadatadict_czi['ImageDocument']['Metadata']['Information'][
'Instrument'] is not None:
# get objective data
if isinstance(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']['Objective'],
list):
num_obj = len(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']['Objective'])
else:
num_obj = 1
# if there is only one objective found
if num_obj == 1:
try:
metadata['ObjName'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective']['Name'])
except (KeyError, TypeError) as e:
print('No Objective Name :', e)
metadata['ObjName'].append(None)
try:
metadata['ObjImmersion'] = \
metadatadict_czi['ImageDocument']['Metadata']['Information']['Instrument']['Objectives'][
'Objective']['Immersion']
except (KeyError, TypeError) as e:
print('No Objective Immersion :', e)
metadata['ObjImmersion'] = None
try:
metadata['ObjNA'] = np.float(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective']['LensNA'])
except (KeyError, TypeError) as e:
print('No Objective NA :', e)
metadata['ObjNA'] = None
try:
metadata['ObjID'] = \
metadatadict_czi['ImageDocument']['Metadata']['Information']['Instrument']['Objectives'][
'Objective']['Id']
except (KeyError, TypeError) as e:
print('No Objective ID :', e)
metadata['ObjID'] = None
try:
metadata['TubelensMag'] = np.float(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['TubeLenses']['TubeLens']
['Magnification'])
except (KeyError, TypeError) as e:
print('No Tubelens Mag. :', e,
'Using Default Value = 1.0.')
metadata['TubelensMag'] = 1.0
try:
metadata['ObjNominalMag'] = np.float(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective']['NominalMagnification'])
except (KeyError, TypeError) as e:
print('No Nominal Mag.:', e, 'Using Default Value = 1.0.')
metadata['ObjNominalMag'] = 1.0
try:
if metadata['TubelensMag'] is not None:
metadata['ObjMag'] = metadata[
'ObjNominalMag'] * metadata['TubelensMag']
if metadata['TubelensMag'] is None:
print(
'Using Tublens Mag = 1.0 for calculating Objective Magnification.'
)
metadata['ObjMag'] = metadata['ObjNominalMag'] * 1.0
except (KeyError, TypeError) as e:
print('No Objective Magnification :', e)
metadata['ObjMag'] = None
if num_obj > 1:
for o in range(num_obj):
try:
metadata['ObjName'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective'][o]['Name'])
except KeyError as e:
print('No Objective Name :', e)
metadata['ObjName'].append(None)
try:
metadata['ObjImmersion'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective'][o]['Immersion'])
except KeyError as e:
print('No Objective Immersion :', e)
metadata['ObjImmersion'].append(None)
try:
metadata['ObjNA'].append(
np.float(metadatadict_czi['ImageDocument']
['Metadata']['Information']['Instrument']
['Objectives']['Objective'][o]['LensNA']))
except KeyError as e:
print('No Objective NA :', e)
metadata['ObjNA'].append(None)
try:
metadata['ObjID'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective'][o]['Id'])
except KeyError as e:
print('No Objective ID :', e)
metadata['ObjID'].append(None)
try:
metadata['TubelensMag'].append(
np.float(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['TubeLenses']
['TubeLens'][o]['Magnification']))
except KeyError as e:
print('No Tubelens Mag. :', e,
'Using Default Value = 1.0.')
metadata['TubelensMag'].append(1.0)
try:
metadata['ObjNominalMag'].append(
np.float(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Objectives']
['Objective'][o]['NominalMagnification']))
except KeyError as e:
print('No Nominal Mag. :', e,
'Using Default Value = 1.0.')
metadata['ObjNominalMag'].append(1.0)
try:
if metadata['TubelensMag'] is not None:
metadata['ObjMag'].append(
metadata['ObjNominalMag'][o] *
metadata['TubelensMag'][o])
if metadata['TubelensMag'] is None:
print(
'Using Tublens Mag = 1.0 for calculating Objective Magnification.'
)
metadata['ObjMag'].append(
metadata['ObjNominalMag'][o] * 1.0)
except KeyError as e:
print('No Objective Magnification :', e)
metadata['ObjMag'].append(None)
# get detector information
# check if there are any detector entries inside the dictionary
if pydash.objects.has(metadatadict_czi, [
'ImageDocument', 'Metadata', 'Information', 'Instrument',
'Detectors'
]):
if isinstance(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Instrument']['Detectors']['Detector'], list):
num_detectors = len(
metadatadict_czi['ImageDocument']['Metadata']['Information']
['Instrument']['Detectors']['Detector'])
else:
num_detectors = 1
# if there is only one detector found
if num_detectors == 1:
# check for detector ID
try:
metadata['DetectorID'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
['Id'])
except KeyError as e:
print('DetectorID not found :', e)
metadata['DetectorID'].append(None)
# check for detector Name
try:
metadata['DetectorName'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
['Name'])
except KeyError as e:
print('DetectorName not found :', e)
metadata['DetectorName'].append(None)
# check for detector model
try:
metadata['DetectorModel'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
['Manufacturer']['Model'])
except KeyError as e:
print('DetectorModel not found :', e)
metadata['DetectorModel'].append(None)
# check for detector type
try:
metadata['DetectorType'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
['Type'])
except KeyError as e:
print('DetectorType not found :', e)
metadata['DetectorType'].append(None)
if num_detectors > 1:
for d in range(num_detectors):
# check for detector ID
try:
metadata['DetectorID'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
[d]['Id'])
except KeyError as e:
print('DetectorID not found :', e)
metadata['DetectorID'].append(None)
# check for detector Name
try:
metadata['DetectorName'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
[d]['Name'])
except KeyError as e:
print('DetectorName not found :', e)
metadata['DetectorName'].append(None)
# check for detector model
try:
metadata['DetectorModel'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
[d]['Manufacturer']['Model'])
except KeyError as e:
print('DetectorModel not found :', e)
metadata['DetectorModel'].append(None)
# check for detector type
try:
metadata['DetectorType'].append(
metadatadict_czi['ImageDocument']['Metadata']
['Information']['Instrument']['Detectors']['Detector']
[d]['Type'])
except KeyError as e:
print('DetectorType not found :', e)
metadata['DetectorType'].append(None)
# check for well information
metadata['Well_ArrayNames'] = []
metadata['Well_Indices'] = []
metadata['Well_PositionNames'] = []
metadata['Well_ColId'] = []
metadata['Well_RowId'] = []
metadata['WellCounter'] = None
metadata['SceneStageCenterX'] = []
metadata['SceneStageCenterY'] = []
try:
print('Trying to extract Scene and Well information if existing ...')
# extract well information from the dictionary
allscenes = metadatadict_czi['ImageDocument']['Metadata'][
'Information']['Image']['Dimensions']['S']['Scenes']['Scene']
# loop over all detected scenes
for s in range(metadata['SizeS']):
if metadata['SizeS'] == 1:
well = allscenes
try:
metadata['Well_ArrayNames'].append(allscenes['ArrayName'])
except KeyError as e:
try:
metadata['Well_ArrayNames'].append(well['Name'])
except KeyError as e:
# print('Well Name not found :', e)
try:
metadata['Well_ArrayNames'].append(well['@Name'])
except KeyError as e:
# print('Well @Name not found :', e)
print('Well Name not found :', e,
'Using A1 instead')
metadata['Well_ArrayNames'].append('A1')
try:
metadata['Well_Indices'].append(allscenes['Index'])
except KeyError as e:
try:
metadata['Well_Indices'].append(allscenes['@Index'])
except KeyError as e:
print('Well Index not found :', e)
metadata['Well_Indices'].append(1)
try:
metadata['Well_PositionNames'].append(allscenes['Name'])
except KeyError as e:
try:
metadata['Well_PositionNames'].append(
allscenes['@Name'])
except KeyError as e:
print('Well Position Names not found :', e)
metadata['Well_PositionNames'].append('P1')
try:
metadata['Well_ColId'].append(
np.int(allscenes['Shape']['ColumnIndex']))
except KeyError as e:
print('Well ColumnIDs not found :', e)
metadata['Well_ColId'].append(0)
try:
metadata['Well_RowId'].append(
np.int(allscenes['Shape']['RowIndex']))
except KeyError as e:
print('Well RowIDs not found :', e)
metadata['Well_RowId'].append(0)
try:
# count the content of the list, e.g. how many time a certain well was detected
metadata['WellCounter'] = Counter(
metadata['Well_ArrayNames'])
except KeyError:
metadata['WellCounter'].append(Counter({'A1': 1}))
try:
# get the SceneCenter Position
sx = allscenes['CenterPosition'].split(',')[0]
sy = allscenes['CenterPosition'].split(',')[1]
metadata['SceneStageCenterX'].append(np.double(sx))
metadata['SceneStageCenterY'].append(np.double(sy))
except (TypeError, KeyError) as e:
print('Stage Positions XY not found :', e)
metadata['SceneStageCenterX'].append(0.0)
metadata['SceneStageCenterY'].append(0.0)
if metadata['SizeS'] > 1:
try:
well = allscenes[s]
metadata['Well_ArrayNames'].append(well['ArrayName'])
except KeyError as e:
try:
metadata['Well_ArrayNames'].append(well['Name'])
except KeyError as e:
# print('Well Name not found :', e)
try:
metadata['Well_ArrayNames'].append(well['@Name'])
except KeyError as e:
# print('Well @Name not found :', e)
print('Well Name not found. Using A1 instead')
metadata['Well_ArrayNames'].append('A1')
# get the well information
try:
metadata['Well_Indices'].append(well['Index'])
except KeyError as e:
try:
metadata['Well_Indices'].append(well['@Index'])
except KeyError as e:
print('Well Index not found :', e)
metadata['Well_Indices'].append(None)
try:
metadata['Well_PositionNames'].append(well['Name'])
except KeyError as e:
try:
metadata['Well_PositionNames'].append(well['@Name'])
except KeyError as e:
print('Well Position Names not found :', e)
metadata['Well_PositionNames'].append(None)
try:
metadata['Well_ColId'].append(
np.int(well['Shape']['ColumnIndex']))
except KeyError as e:
print('Well ColumnIDs not found :', e)
metadata['Well_ColId'].append(None)
try:
metadata['Well_RowId'].append(
np.int(well['Shape']['RowIndex']))
except KeyError as e:
print('Well RowIDs not found :', e)
metadata['Well_RowId'].append(None)
# count the content of the list, e.g. how many time a certain well was detected
metadata['WellCounter'] = Counter(metadata['Well_ArrayNames'])
# try:
if isinstance(allscenes, list):
try:
# get the SceneCenter Position
sx = allscenes[s]['CenterPosition'].split(',')[0]
sy = allscenes[s]['CenterPosition'].split(',')[1]
metadata['SceneStageCenterX'].append(np.double(sx))
metadata['SceneStageCenterY'].append(np.double(sy))
except KeyError as e:
print('Stage Positions XY not found :', e)
metadata['SceneCenterX'].append(0.0)
metadata['SceneCenterY'].append(0.0)
if not isinstance(allscenes, list):
metadata['SceneStageCenterX'].append(0.0)
metadata['SceneStageCenterY'].append(0.0)
# count the number of different wells
metadata['NumWells'] = len(metadata['WellCounter'].keys())
except (KeyError, TypeError) as e:
print('No valid Scene or Well information found:', e)
# get additional meta data about the experiment etc.
metadata_add = get_additional_metadata_czi(metadatadict_czi)
return metadata, metadata_add
def __init__(self, filename: str) -> None:
# get metadata dictionary using pylibCZIrw
with pyczi.open_czi(filename) as czidoc:
md_dict = czidoc.metadata
# create empty lists for channel related information
channels = []
channels_names = []
channels_colors = []
channels_contrast = []
channels_gamma = []
try:
sizeC = np.int(md_dict["ImageDocument"]["Metadata"]["Information"]
["Image"]["SizeC"])
except (KeyError, TypeError) as e:
sizeC = 1
# in case of only one channel
if sizeC == 1:
# get name for dye
try:
channels.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["ShortName"])
except (KeyError, TypeError) as e:
print("Channel shortname not found :", e)
try:
channels.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["DyeName"])
except (KeyError, TypeError) as e:
print("Channel dye not found :", e)
channels.append("Dye-CH1")
# get channel name
try:
channels_names.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["Name"])
except (KeyError, TypeError) as e:
try:
channels_names.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["@Name"])
except (KeyError, TypeError) as e:
print("Channel name found :", e)
channels_names.append("CH1")
# get channel color
try:
channels_colors.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["Color"])
except (KeyError, TypeError) as e:
print("Channel color not found :", e)
channels_colors.append("#80808000")
# get contrast setting fro DisplaySetting
try:
low = np.float(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["Low"])
except (KeyError, TypeError) as e:
low = 0.1
try:
high = np.float(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["High"])
except (KeyError, TypeError) as e:
high = 0.5
channels_contrast.append([low, high])
# get the gamma values
try:
channels_gamma.append(
np.float(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"]["Gamma"]))
except (KeyError, TypeError) as e:
channels_gamma.append(0.85)
# in case of two or more channels
if sizeC > 1:
# loop over all channels
for ch in range(sizeC):
# get name for dyes
try:
channels.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"][ch]["ShortName"])
except (KeyError, TypeError) as e:
print("Channel shortname not found :", e)
try:
channels.append(md_dict["ImageDocument"]["Metadata"]
["DisplaySetting"]["Channels"]
["Channel"][ch]["DyeName"])
except (KeyError, TypeError) as e:
print("Channel dye not found :", e)
channels.append("Dye-CH" + str(ch))
# get channel names
try:
channels_names.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"][ch]["Name"])
except (KeyError, TypeError) as e:
try:
channels_names.append(
md_dict["ImageDocument"]["Metadata"]
["DisplaySetting"]["Channels"]["Channel"][ch]
["@Name"])
except (KeyError, TypeError) as e:
print("Channel name not found :", e)
channels_names.append("CH" + str(ch))
# get channel colors
try:
channels_colors.append(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"][ch]["Color"])
except (KeyError, TypeError) as e:
print("Channel color not found :", e)
# use grayscale instead
channels_colors.append("80808000")
# get contrast setting fro DisplaySetting
try:
low = np.float(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"][ch]["Low"])
except (KeyError, TypeError) as e:
low = 0.0
try:
high = np.float(
md_dict["ImageDocument"]["Metadata"]["DisplaySetting"]
["Channels"]["Channel"][ch]["High"])
except (KeyError, TypeError) as e:
high = 0.5
channels_contrast.append([low, high])
# get the gamma values
try:
channels_gamma.append(
np.float(md_dict["ImageDocument"]["Metadata"]
["DisplaySetting"]["Channels"]["Channel"][ch]
["Gamma"]))
except (KeyError, TypeError) as e:
channels_gamma.append(0.85)
# write channels information (as lists) into metadata dictionary
self.shortnames = channels
self.names = channels_names
self.colors = channels_colors
self.clims = channels_contrast
self.gamma = channels_gamma
