Semi-automatic single particle segmentation on electron micrographs
Por:
Carvalho B.M., Oliveira L.M., Garduño E.
Publicada:
1 ene 2006
Resumen:
The selection of single particles from an electron microscopic (EM) micrograph is an essential part of the reconstruction process of biological macromolecules. Despite its importance, this process requires a lot of user intervention by either purely manual or semi-automatic processing (with the aid of graphical interfaces). Since reconstructing a 3D model of these macromolecules at nano-scale resolution requires thousands of particles, the particle selection phase is bound to become a serious bottleneck in the reconstruction process. In this article we propose a semi-automatic procedure for selecting particles from a micrograph that aims to reduce the false positive rate. We achieve this by first using a fuzzy-sets-based segmentation method, that requires very little user intervention, to detect the background, and then calculating a cross-correlation measure only on points with low "affinity" to the micrograph's background. © 2006 IEEE.