CryoET

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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Cryo-Electron Tomography (CryoET)

Introduction

Cryo-ET has recently emerged as a leading technique to investigate the three-dimensional(3D) structure of biological specimens at close-to-native state. It also bridges the gap between low-resolution imaging techniques (e.g. light microscopy) and high-resolution techniques (e.g. single particle electron microscopy). The technique consists of acquiring many two-dimensional (2D) projections of the structure under scrutiny at various tilt angles under cryogenic conditions. The 3D structure is recovered through a number of steps including projection alignment, reconstruction and de-nosing.

The resolution of the reconstructed tomogram, however, is a affected 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.

Project Phases

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

MG2F



Edit | Attach | Refresh | Diffs | More | Revision r1.12 - 01 Sep 2015 - 08:07 - ShadiAlbarqouni