Fast principal component analysis for cryo-electron microscopy images

Fast principal component analysis for cryo-electron microscopy images

Principal component analysis (PCA) plays an important role in the analysis of cryo-electron microscopy (cryo-EM) images for various tasks such as classification, denoising, compression, and ab initio modeling. We introduce a fast method for estimating a compressed representation of the 2-D covarianc...

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Bibliographic Details
Main Authors:	Nicholas F. Marshall, Oscar Mickelin, Yunpeng Shi, Amit Singer
Format:	Article
Language:	English
Published:	Cambridge University Press 2023-01-01
Series:	Biological Imaging
Subjects:	Covariance estimation cryo-EM denoising Fourier–Bessel principal component analysis single particle reconstruction
Online Access:	https://www.cambridge.org/core/product/identifier/S2633903X23000028/type/journal_article

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