Library Reference - Functions

Auto Centre

Centres the input NumPy array by placing the voxel with the largest amplitude at the centre of the array. The output NumPy array will necessarily increase in dimensions when compared to the input if centring is required.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Bin

Creates an array in which each voxel results from the grouping and addition of neighbouring voxels of the input file. The dimensions used (in each {x,y,z} direction) for each voxel group is dictated by the Bin dimensions parameter.

Parameters:

Input file

User provided path string to the input NumPy file from which bin groups are defined.

Output File

User provided path string for the output bin NumPy file.

Bin dimensions {x,y,z}

Dimensions used for grouping voxels.

Scale Array Dims

Creates an array in which groupings of neighbouring voxels result from a single voxel of the input file. The dimensions used (in each {x,y,z} direction) for each voxel group is dictated by the Scale dimensions parameter.

Parameters:

Input file

User provided path string to the input NumPy file from which Scale groups are defined.

Output File

User provided path string for the output Scaled NumPy file.

Scale dimensions {x,y,z}

Dimensions used for grouping voxels.

Blank Line Fill Array

Applies an average filter to the amplitude of non-zero voxels of the input array within the specified region.

Parameters:

Input file

User provided path string to the input NumPy file.

ROI path

Region of interest within the input HDF file.

Output File

User provided path string for the output NumPy file.

Filter kernel dimensions

Dimensions of the averging kernel.

Centred Resize

Centres the input NumPy array by placing the voxel with the largest amplitude at the centre of the array and then resizes the cetered array to the specified dimensions.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Dimensions {x,y,z}

Dimensions of the output array.

Conjugate Reflect

Takes the complex conjugate and reflects the coordinates of the input NumPy file.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Convolve

Performs a discrete convolution of the two input NumPy files.

Parameters:

First Input file

User provided path string to the first input NumPy file.

Second Input file

User provided path string to the second input NumPy file.

Output File

User provided path string for the output NumPy file.

Crop Pad

Provides a means to crop and zero pad a NumPy array. The input array is first cropped and subsequently zero padded according to the specified parameters.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Crop dimensions: Start: {i,j,k}

Number of indices by which to crop the array along each {i,j,k} direction. Cropping direction begins from the start of the array (and counts forward) for each {i,j,k} direction.

Crop dimensions: End: {i,j,k}

Number of indices by which to crop the array along each {i,j,k} direction. Cropping direction begins from the end of the array (and counts backward) for each {i,j,k} direction.

Pad dimensions: Start: {i,j,k}

Number of indices by which to pad the array along each {i,j,k} direction. Padding direction begins from the start of the array for each {i,j,k} direction.

Pad dimensions: End: {i,j,k}

Number of indices by which to pad the array along each {i,j,k} direction. Padding direction begins from the end of the array for each {i,j,k} direction.

Cuboid Support

Creates a support array for use in phase retrieval. Voxels in this array take a value of 1 + 0j inside the support and zero everywhere else. The support is automatically centred within the array.

If any array is supplied in the (xyz) from array field, the dimensions of this array will be used for the support array. Otherwise, the specified dimensions will be used.

Parameters:

Support file

User provided path string for the output support NumPy file.

(xyz) from array

Optional user provided path string for NumPy file used to provide the support array dimensions.

(xyz) from dimensions {x,y,z}

Dimensions of the support array. This is overridden if the (xyz) from array field is used.

Support size {x,y,z}

Dimensions of the support. This must be smaller than the size of the array.

Polyhedron Support

Creates a support array for use in phase retrieval using the specified planes to form the surface. The vector formed by each terminal and initial point coordinate pair is the normal vector to a surface that encloses the support. Voxels in this array take a value of 1 + 0j inside the support and zero everywhere else.

If any array is supplied in the (xyz) from array field, the dimensions of this array will be used for the support array. Otherwise, the specified dimensions will be used.

Parameters:

Support file

User provided path string for the output support NumPy file.

(xyz) from array

Optional user provided path string for NumPy file used to provide the support array dimensions.

(xyz) from dimensions {x,y,z}

Dimensions of the support array. This is overridden if the (xyz) from array field is used.

Initial Point Coordinates

List of initial point coordinates of vector normals to each surface. One per line with comma separated ordinates. Parentheses are ignored.

Terminal Point Coordinates

List of terminal point coordinates of vector normals to each surface. One per line with comma separated ordinates. Parentheses are ignored.

Fourier Transform

Performs a Fast Fourier transform (FFT) on the input NumPy file in the specified direction.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

To
  • Fourier Space - Transform to Fourier space.

  • Real Space - Transform to Real space.

Gaussian Fill

Fill the input NumPy file with a Gaussian function.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Sigma

Standard Deviation of the Gaussian function.

Interpolate Object

Interpolates an input NumPy array and it’s corresponding co-ordinates onto regular grid NumPy array with dimensions dictated by Array grid size. Shepards famous algorithm is used for the interpolation.

Parameters:

Input file

User provided path string to the input NumPy file.

Co-ord’s File

User provided path string to the corresponding co-ordinates NumPy file. Generating coordinates files is achieved using the Coordinate transformation operation.

Output File

User provided path string for the output NumPy file.

Array grid size

Dimensions of the output NumPy array.

Array Bounds: Start: {x,y,z}

Start bounding coordinates. Each value must be smaller than the End bounding coordinates. If all values are zero, they are ignored and the digault bounds are used instead.

Array Bounds: End: {x,y,z}

End bounding coordinates. Each value must be larger than the Start bounding coordinates. If all values are zero, they are ignored and the digault bounds are used instead.

Interpolation range

Fraction of the input array used for interpolating each point. Larger values approaching unity will significantly slow down the interpolation process.

Affine Transform

Performs an affine (linear) transformation on the input coordinates file.

Parameters:

Input co-ord’s file

User provided path string to the corresponding co-ordinates NumPy file. Generating coordinates files is achieved using the Coordinate transformation operation.

Output co-ord’s file

User provided path string for the output co-ordinates NumPy file.

Translate: {x,y,z}

Translation of coordinates in each orthogonal direction. Units are equal to those of the original coordinates.

Scale: {x,y,z}

Scaling of each orthogonal axis.

Rotate: {x,y,z}

Rotation about each orthogonal axis. Units are in degrees.

Mask

Creates a mask array for use in phase retrieval. Voxels in this array take a value of 1 + 0j if the corresponding voxel of the input file is inside the range of Minimum Value to Maximum Value. Voxels outside the same range are set to zero.

Parameters:

Input file

User provided path string to the input NumPy file from which Minimum Value and Maximum Value are obtained.

Output File

User provided path string for the output mask NumPy file.

Maximum Value

Values above (equal or below) Maximum Value in the input file will result in a corresponding voxel value of zero (1 + 0j) in the mask.

Minimum Value

Values below (equal or above) Minimum Value in the input file will result in a corresponding voxel value of zero (1 + 0j) in the mask.

Median Filter

Applies a median filter to the amplitude of the input array. Voxels are only replaced in the array if they deviate from the median filtered equivalent by an amount greater than the Normal deviation.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Filter kernel dimensions

Dimensions of the median filtering kernel.

Normal deviation

Median filter voxel replace cut-off value. This value is compared element-wise to the normalised difference in amplitude of voxels from the input array and from the median filtered equivalent, i.e. the magnitude of (median filtered array - array)/ array. Voxels that exceeed this cut-off are replaced with their median-filtered equivalent.

Python Script

Execute python script. Memory arrays are exposed to this function.

Rotate Support

Rotates a binary array (such as a support array) by the specified angle in degrees normal to the specified axis. This operation is only intended for binary arrays.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Axis

Axis normal to the rotation. 1,2 and 3 correspond to axis x,y and z.

Angle

Angle of rotation in degrees.

Scale Array

Scales the input array by a given amount. Scaling is performed element-wise.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Scale factor

Factor by which each voxel of the array is scaled.

Sum or Subtract Array

Takes the sum or difference of two input arrays and places the result in the output array.

Parameters:

Input file 1

User provided path string to the input NumPy file.

Input file 2

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Add or Subtract

Choose whether to add or subtract array 2 from array 1.

Threshold Data

Creates an array using data from the input file for which voxels outside the range of Minimum Value to Maximum Value are set to zero.

Parameters:

Input file

User provided path string to the input NumPy file from which Minimum Value and Maximum Value are obtained.

Output File

User provided path string for the output mask NumPy file.

Maximum Value

Values above Maximum Value in the input file will result in a corresponding voxel value of zero in the output file.

Minimum Value

Values below Minimum Value in the input file will result in a corresponding voxel value of zero in the output file.

Transpose Array

Transposes an array from dimensions {x,y,z} to dimensions {z,y,x}.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided choice of memory keyword.

Voxel Replace

Replaces all voxels with indices in the range of Start dimensions and End dimensions with the specified complex value.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Start dimensions: {i,j,k}

Starting indices from which the replacement will begin.

End dimensions: {i,j,k}

Final indices for which the replacement will end.

Complex Value

Real and imaginary parts of a complex number used repeatedly to replace voxel data in the input file.

Wrap Data

Reorders the data of the input NumPy file into wrap-around order.

Parameters:

Input file

User provided path string to the input NumPy file.

Output File

User provided path string for the output NumPy file.

Wrap Direction

If an array dimension has an odd number of elements, a Forward followed by a Reverse wrap is required to obtain the original array.