Pre-pro is a fast pre-processor for single-particle cryo-EM by enhancing 2D classification.
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ABSTRACT: 2D classification plays a pivotal role in analyzing single particle cryo-electron microscopy images. Here, we introduce a simple and loss-less pre-processor that incorporates a fast dimension-reduction (2SDR) de-noiser to enhance 2D classification. By implementing this 2SDR pre-processor prior to a representative classification algorithm like RELION and ISAC, we compare the performances with and without the pre-processor. Tests on multiple cryo-EM experimental datasets show the pre-processor can make classification faster, improve yield of good particles and increase the number of class-average images to generate better initial models. Testing on the nanodisc-embedded TRPV1 dataset with high heterogeneity using a 3D reconstruction workflow with an initial model from class-average images hi
SUBMITTER: Chung SC
PROVIDER: S-EPMC7486923 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
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