Wedge

class Wedge(shape=None, angles=None, weights=None, tilt_axis=0, opening_axis=2, weight_type=None, frequency_cutoff=0.5, sampling_rate=1)

Bases: ComposableFilter

Generate wedge mask for tomographic data.

Attributes

Wedge.angles	The tilt angles.
Wedge.frequency_cutoff	Frequency cutoff for created mask.
Wedge.opening_axis	The projection axis, defaults to 2 (z).
Wedge.sampling_rate	The sampling rate, defaults to 1 Ångstrom / voxel.
Wedge.shape	The shape of the reconstruction volume.
Wedge.tilt_axis	Axis the plane is tilted over, defaults to 0 (x).
Wedge.weight_type	The type of weighting to apply, defaults to None.
Wedge.weights	The weights corresponding to each tilt angle.

Methods

Wedge.__call__(**kwargs)	Returns a Wedge stack of chosen parameters with DC component in the center.
Wedge.from_file(filename)	Generate a Wedge instance by reading tilt angles and weights.
Wedge.weight_angle(shape, weights, angles, ...)	Generate weighted wedges based on the cosine of the current angle.
Wedge.weight_grigorieff(shape, opening_axis, ...)	Generate weighted wedges based on the formalism introduced in [Re1299e4ba496-1].
Wedge.weight_relion(shape, opening_axis, ...)	Generate weighted wedges based on the RELION 1.4 formalism, weighting each angle using the cosine of the angle and a Gaussian lowpass filter computed with respect to the exposure per angstrom.