Model-based particle picking for cryo-electron microscopy |
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Authors: | Wong H Chi Chen Jindong Mouche Fabrice Rouiller Isabelle Bern Marshall |
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Affiliation: | Palo Alto Research Center, 3333 Coyote Hill Rd, Palo Alto, CA 94070, USA. hcwong@parc.com |
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Abstract: | ![]() We describe an algorithm for finding particle images in cryo-EM micrographs. The algorithm starts from a crude 3D map of the target particle, computed from a relatively small number of manually picked images, and then projects the map in many different directions to give synthetic 2D templates. The templates are clustered and averaged and then cross-correlated with the micrographs. A probabilistic model of the imaging process then scores cross-correlation peaks to produce the final picks. We give quantitative results on two quite different target particles: keyhole limpet hemocyanin and p97 AAA ATPase. On these particles our automatic particle picker shows human performance level, as measured by the Fourier shell correlations of 3D reconstructions. |
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