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arxiv: 1311.7650 · v1 · pith:VCO5NOJ7new · submitted 2013-11-29 · 📊 stat.AP · stat.ME· stat.ML

Adaptive nonparametric detection in cryo-electron microscopy

classification 📊 stat.AP stat.MEstat.ML
keywords particleparticlescryo-electroncryo-emdetectionlargemicrographsmicroscopy
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Cryo-electron microscopy (cryo-EM) is an emerging experimental method to characterize the structure of large biomolecular assemblies. Single particle cryo-EM records 2D images (so-called micrographs) of projections of the three-dimensional particle, which need to be processed to obtain the three-dimensional reconstruction. A crucial step in the reconstruction process is particle picking which involves detection of particles in noisy 2D micrographs with low signal-to-noise ratios of typically 1:10 or even lower. Typically, each picture contains a large number of particles, and particles have unknown irregular and nonconvex shapes.

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