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navigate.model.metadata_sources.metadata.XMLMetadata

class navigate.model.metadata_sources.metadata.XMLMetadata

Bases: Metadata

XML Metadata

This is a base class for dealing with metadata that is stored as an XML, e.g. in OME-TIFF or BigDataViewer. There are multiple methods for storing XML. In OME-TIFF, the XML is stored in the header of the first OME-TIFF file in a directory. In BigDataViewer, it is stored in a separate XML. Both have proprietary XML formats. To address this, we store their metadata in a nested dictionary, defined by {file_type}_xml_dict() (e.g. ome_tiff_xml_dict()) (see to_xml()). We then parse this nested dictionary into an XML file. Similarly, we can parse from an XML file to a nested dictionary and map these values back to our internal representation of metadata values (TODO: Not implemented. Will use xml_tools.parse_xml() for the first bit.)

__init__() → None

Metadata class

Store and convert internal representation of metadata (configuration, experiment, etc.) to alternative file types.

Note

Concept and some of the code borrowed from python-microscopy (https://github.com/python-microscopy/python-microscopy/).

Methods

__init__()

Metadata class

set_from_configuration_experiment()

Set from configuration experiment

set_from_dict(metadata_config)

Set from a dictionary

set_shape_from_configuration_experiment()

Set shape from configuration experiment

set_stack_order_from_configuration_experiment()

Set stack order from configuration experiment

to_xml(file_type[, root])

Convert stored metadata to XML

write_xml(file_name, file_type[, root])

Write to XML file.

Attributes

configuration

Return configuration dictionary

per_stack

Return per stack

shape

Return shape as XYCZT.

voxel_size

Return voxel size

set_from_configuration_experiment() → None

Set from configuration experiment

set_from_dict(metadata_config: dict) → None

Set from a dictionary

Parameters:

metadata_config (dict) – dictionary of metadata: “c”, “z”, “t”, “p”, “is_dynamic”, “per_stack”

set_shape_from_configuration_experiment() → None

Set shape from configuration experiment

set_stack_order_from_configuration_experiment() → None

Set stack order from configuration experiment

to_xml(file_type: str, root: Optional[str] = None, **kw) → str

Convert stored metadata to XML

Parameters:
  • file_type (str) – File type

  • root (Optional[str]) – Root, by default None

  • **kw – Keyword arguments

Returns:

XML string

Return type:

str

write_xml(file_name: str, file_type: str, root: Optional[str] = None, **kw) → None

Write to XML file. Assumes we do not include the XML header in our nested metadata dictionary.

Parameters:
  • file_name (str) – File name

  • file_type (str) – File type

  • root (Optional[str]) – Root, by default None

active_microscope

Active microscope

Type:

str

property configuration: Optional[DictProxy]

Return configuration dictionary

Returns:

configuration – Configuration dictionary

Return type:

Optional[DictProxy]

dc

Step size between channels, should always be 1

Type:

int

dt

Time displacement (s)

Type:

float

dx

Pixel size in x (um) float: Pixel size in y (um) float: Pixel size in z (um)

Type:

float

dy

Pixel size in x (um) float: Pixel size in y (um) float: Pixel size in z (um)

Type:

float

dz

Pixel size in x (um) float: Pixel size in y (um) float: Pixel size in z (um)

Type:

float

misc

misc notes

Type:

str

property per_stack: bool

Return per stack

Returns:

True if per stack, False otherwise

Return type:

bool

positions

Number of positions

Type:

int

property shape: tuple

Return shape as XYCZT.

Returns:

Shape as XYCZT

Return type:

tuple

shape_c

Shape of the data in x int: Shape of the data in y int: Shape of the data in z int: Shape of the data in t int: Shape of the data in c

Type:

int

shape_t

Shape of the data in x int: Shape of the data in y int: Shape of the data in z int: Shape of the data in t int: Shape of the data in c

Type:

int

shape_x

Shape of the data in x int: Shape of the data in y int: Shape of the data in z int: Shape of the data in t int: Shape of the data in c

Type:

int

shape_y

Shape of the data in x int: Shape of the data in y int: Shape of the data in z int: Shape of the data in t int: Shape of the data in c

Type:

int

shape_z

Shape of the data in x int: Shape of the data in y int: Shape of the data in z int: Shape of the data in t int: Shape of the data in c

Type:

int

property voxel_size: tuple

Return voxel size

Returns:

Voxel size

Return type:

tuple

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