navigate.model.features.image_writer.ImageWriter

class navigate.model.features.image_writer.ImageWriter(model, microscope_name=None, data_buffer=None, sub_dir='', image_name=None, saving_flags=None, saving_config={})

Bases: object

Class for saving acquired data to disk.

__init__(model, microscope_name=None, data_buffer=None, sub_dir='', image_name=None, saving_flags=None, saving_config={})

Class for saving acquired data to disk.

Parameters:

• model (navigate.model.model.Model) – Navigate Model class for controlling hardware/acquisition.

• data_buffer ([SharedNDArray]) – data_buffer will use model’s default data_buffer if it’s not specified

• sub_dir (str) – Sub-directory of self.model.configuration[‘experiment’] [‘Saving’][‘save_directory’] indicating where to save data

• image_name (str) – Name of the image to be saved. If None, a name will be generated

Methods

__init__(model[, microscope_name, ...])	Class for saving acquired data to disk.
calculate_and_check_disk_space()	Estimate the size of the data that will be written to disk, and confirm that sufficient disk space is available.
close()	Close the data source we are writing to.
generate_image_name(current_channel[, ext])	Generates a string for the filename, e.g., CH00_000000.tif.
save_image(frame_ids)	Save the data to disk.

Attributes

microscope_name	Name of the microscope.
data_buffer	Data buffer for saving data.
number_of_frames	Number of frames in the experiment.
saving_flags	Array of saving flags
save_directory	Directory for saving data to disk.
sub_dir	Sub-directory for saving data to disk.
current_time_point	Current time point for saving data.
config_table	Dictionary of functions to call for each configuration.
big_tiff	Is 32 vs 64-bit file format.
mip	Maximum intensity projection image.
mip_directory	Directory for saving maximum intensity projection images.
file_type	File type for saving data.
data_source	Data source for saving data to disk.

calculate_and_check_disk_space()

Estimate the size of the data that will be written to disk, and confirm that sufficient disk space is available. Also evaluates whether big-tiff or tiff is needed. Tiff file formats were designed for 32-bit operating systems, whereas big-tiff was designed for 64-bit operating systems.

Assumes 16-bit image type, without compression.

close()

Close the data source we are writing to.

generate_image_name(current_channel, ext='.tif')

Generates a string for the filename, e.g., CH00_000000.tif.

Parameters:

• current_channel (int) – Index into self.model.configuration[‘experiment’] [‘MicroscopeState’][‘channels’] of saved color channel.

• ext (str) – File extension, e.g., ‘.tif’

Returns:

File name, e.g., CH00_000000.tif

Return type:

str

save_image(frame_ids)

Save the data to disk.

Parameters:

frame_ids (int) – Index into self.model.data_buffer.

big_tiff

Is 32 vs 64-bit file format.

Type:

bool

config_table

Dictionary of functions to call for each configuration.

Type:

dict

current_time_point

Current time point for saving data.

Type:

int

data_buffer

Data buffer for saving data.

Type:

[SharedNDArray]

data_source

Data source for saving data to disk.

Type:

navigate.model.data_sources.DataSource

file_type

File type for saving data.

Type:

str

microscope_name

Name of the microscope.

Type:

str

mip

Maximum intensity projection image.

Type:

np.ndarray

mip_directory

Directory for saving maximum intensity projection images.

Type:

str

number_of_frames

Number of frames in the experiment.

Type:

int

save_directory

Directory for saving data to disk.

Type:

str

saving_flags

Array of saving flags

Type:

array

sub_dir

Sub-directory for saving data to disk.

Type:

str