Supported Applications
Topaz
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Description
Topaz is a pipeline for particle detection in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Topaz includes methods for micrograph denoising using deep denoising models.
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Primary Citation*
T. Bepler, A. Morin, M. Rapp, J. Brasch, L. Shapiro, and A. J. N. &. B. Berger. 2019. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. Nature Methods. 16: 1153-1160.
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*Full citation information available through
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Webinars
Topic: Topaz: particle picking with positive-unlabeled learning
Speaker: Tristan Bepler, MIT
Host: Jason Key
Recorded on Feb 26, 2019
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Keywords
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Default Versions
Linux 64: 0.2.3
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Other Available Versions
Linux 64:
0.2.2, 0.2.1