Technical Program

Paper Detail

Paper:	SA-PM-OS1.3
Session:	Cellular and Molecular Image Analysis
Time:	Saturday, April 8, 15:30 - 15:50
Presentation:	Oral
Title:	Semi-Automatic Single Particle Segmentation on Electron Micrographs
Authors:	Bruno M. Carvalho; DIMAp-UFRN
	Lucas M. Oliveira; DIMAp-UFRN
	Edgar Garduño; I.I.M.A.S.-U.N.A.M.
Abstract:	The selection of single particles from an electron microscopy (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 requires very little user intervention and 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.

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