A clustering approach to multireference alignment of single-particle projections in electron microscopy.

ABSTRACT: Two-dimensional analysis of projections of single-particles acquired by an electron microscope is a useful tool to help identifying the different kinds of projections present in a dataset and their different projection directions. Such analysis is also useful to distinguish between different kinds of particles or different particle conformations. In this paper we introduce a new algorithm for performing two-dimensional multireference alignment and classification that is based on a Hierarchical clustering approach using correntropy (instead of the more traditional correlation) and a modified criterion for the definition of the clusters specially suited for cases in which the Signal-to-Noise Ratio of the differences between classes is low. We show that our algorithm offers an improved sensit

SUBMITTER: Sorzano CO 

PROVIDER: S-EPMC2893300 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature