Journal
JOURNAL OF STRUCTURAL BIOLOGY
Volume 136, Issue 3, Pages 227-238Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1006/jsbi.2002.4442
Keywords
single-particle analysis; neural networks; automatic particle pickup; cryoelectron microscopy
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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-Angstrom 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 recognition and pickup procedure based on the three-layer neural network that has a large application range than other automated procedures. Its use for both faint and noisy electron micrographs is demonstrated. The method requires only 200 selected particles as learning data and is able to detect images of proteins as small as 200 kDa. (C) 2002 Elsevier Science (USA).
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