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

C. O.S. Sorzano, J. R. Bilbao-Castro, Y. Shkolnisky, M. Alcorlo, R. Melero, G. Caffarena-Fernández, M. Li, G. Xu, R. Marabini, J. M. Carazo

Research output: Contribution to journalArticlepeer-review

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 sensitivity over current methods in use for distinguishing between different projection orientations and different particle conformations. This algorithm is publicly available through the software package Xmipp.

Original languageEnglish
Pages (from-to)197-206
Number of pages10
JournalJournal of Structural Biology
Volume171
Issue number2
DOIs
StatePublished - Aug 2010

Keywords

  • 2D analysis
  • Electron microscopy
  • Multireference analysis
  • Single-particle analysis

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