Reconstructor Name | Parameters | Description |
back_projection | int size: Necessary. The x and y dimensions of the input images. string sym: Optional. The symmetry to impose on the final reconstruction. Default is c1 float weight: Optional. A temporary value set prior to slice insertion, indicative of the inserted slice's weight. Default sis 1. int zsample: Optional. The z dimensions of the reconstructed volume. |
Simple (unfiltered) back-projection reconstruction. Weighting by contributing particles in the class average is optional and default behaviour |
fourier | string mode: Optional. Fourier pixel insertion mode name. gauss_2 is the default. string savenorm: Debug. Will cause the normalization volume to be written directly to the specified file when finish() is called. intarray size: Required. The dimensions of the real-space output volume, including any padding (must be handled by the calling application). Assumed that apix x/y/z identical. bool sqrtnorm: Optional. When normalizing, additionally divides by the sqrt of the normalization factor to damp exaggerated features. Is this justifyable ? No idea (yet). Default is false. intarray subvolume: Optional. (xorigin,yorigin,zorigin,xsize,ysize,zsize) all in Fourier pixels. Useful for parallelism. string sym: Optional. The symmetry of the reconstructed volume, c?, d?, oct, tet, icos, h?. Default is c1, ie - an asymmetric object bool verbose: Optional. Toggles writing useful information to standard out. Default is false. |
Reconstruction via direct Fourier methods using one of a variety of different kernels, most of which are Gaussian based |
fouriersimple2D | int nx: Necessary. The x dimension of the input images. |
performs 2D reconstruction |
nn4 | emdata fftvol: int ndim: int npad: int sign: int size: float snr: string symmetry: emdata weight: int weighting: |
Direct Fourier inversion routine |
nn4_ctf | emdata fftvol: int npad: int sign: int size: float snr: string symmetry: int varsnr: emdata weight: int weighting: |
Direct Fourier inversion reconstruction routine |
nnSSNR | emdata SSNR: emdata fftvol: int npad: int size: string symmetry: float w: emdata weight: emdata weight2: |
Reconstruction by nearest neighbor with 3D SSNR |
nnSSNR_ctf | emdata SSNR: emdata fftvol: emdata fftwvol: int npad: int sign: int size: float snr: string symmetry: float w: emdata weight: emdata weight2: emdata weight3: |
Reconstruction by nearest neighbor with 3D SSNR with CTF |