hide
Free keywords:
MPI für Intelligente Systeme; Abt. Schölkopf;
Abstract:
An automatic particle picking algorithm for processing
electron micrographs of a large molecular complex, the
26S proteasome, is described. The algorithm makes use of a
coherence enhancing diffusion filter to denoise the data, and a random forest classifier for removing false positives. It does not make use of a 3D reference model, but uses a training set of manually picked particles instead. False positive and false negative rates of around 25% to 30% are achieved on a testing set. The algorithm was developed for a specific particle, but contains steps that should be useful for developing automatic picking algorithms for other particles.
