Model bias in cryo-EM - Einstein from noise

 

 
 
In the article of Maxim Shatsky et al.  entitled "A Method for the Alignment of Heterogeneous Macromolecules from Electron Microscopy" (J Struct Biol. 2009, 166(1): 67–78. doi:10.1016/j.jsb.2008.12.008.), the authors show that pure noise images aligned to a reference image give an average image resembling the reference. This is a perfect example of the model bias occurring during the 2D classification step. Let's do it!!!

Cryo-EM Table of Contents

Section dedicated to Cryo-Electron Microscopy and ImageJ

Case study: The target

In this case study, we want to count the number of points obtained in this shooting session.

Normal Map of a sphere using ImageJ

 A small script for creating a normal map of a sphere using ImageJ.

Rank Filters

Denoising images is not restricted to linear filters, another family of filters is powerful for such an image enhancement: the Rank Filters.

Noise Distributions

  

Noise present in  a scientific image can be described depending of its distribution. Thus, it is important to figure out how to define the type of noise in order to elaborate a strategy to denoise the images...

Segmentation: TOC

Section dedicated to Segmentation and ImageJ