The resolution of the reconstructed tomogram, however, is aaffected by the low signal to noise ratio (SNR) of the projection images (typically 0.1 to 0.01) and the limited angular coverage (typically 60 to 70 ) resulting in wedge-shaped missing information in Fourier space, the so-called "missing wedge", making the reconstruction process very challenging and demanding.
The following presentation is a simple overview of the whole image processing pipeline in CryoET.
Date | Topic | Conducted by | Materials |
---|---|---|---|
Feb. 2014 | Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction | Shadi | CMMI-MICCAI Paper |
Oct. 2014 | Image Denoising in High Dimensional Space | MLMI Group | Project webpage |
Feb. 2015 | Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data (MG2F) | Shadi | BMVC Paper, BMVC Poster |
Jun. 2015 | RISE Internship | Claire | TBA |