Automatic particle selection from electron micrographs using machine learning techniques
نویسندگان
چکیده
منابع مشابه
Automatic particle selection from electron micrographs using machine learning techniques.
The 3D reconstruction of biological specimens using Electron Microscopy is currently capable of achieving subnanometer resolution. Unfortunately, this goal requires gathering tens of thousands of projection images that are frequently selected manually from micrographs. In this paper we introduce a new automatic particle selection that learns from the user which particles are of interest. The tr...
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Three-dimensional reconstruction from electron micrographs requires the selection of many single-particle projection images; more than 10 000 are generally required to obtain 5- to 10-A structural resolution. Consequently, various automatic detection algorithms have been developed and successfully applied to large symmetric protein complexes. This paper presents a new automated particle recogni...
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ژورنال
عنوان ژورنال: Journal of Structural Biology
سال: 2009
ISSN: 1047-8477
DOI: 10.1016/j.jsb.2009.06.011