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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-01-01
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| Series: | Biological Imaging |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2633903X23000028/type/journal_article |