Non-uniform Fourier transform based image classification in single-particle Cryo-EM
In the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier transform to the images and extract rotation-invariant features in the frequency domain. However, this process involves interpolation, which can reduce the accuracy of the results. In contras...
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Elsevier
2025-06-01
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Series: | Journal of Structural Biology: X |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2590152425000029 |
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author | ZiJian Bai Jian Huang |
author_facet | ZiJian Bai Jian Huang |
author_sort | ZiJian Bai |
collection | DOAJ |
description | In the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier transform to the images and extract rotation-invariant features in the frequency domain. However, this process involves interpolation, which can reduce the accuracy of the results. In contrast, the non-uniform Fourier transform provides more direct and accurate computation of rotation-invariant features without the need for interpolation in the computation process. Leveraging the capabilities of the non-uniform discrete Fourier transform (NUDFT), we have developed an algorithm for the rotation-invariant classification. To highlight its potential and applicability in the field of single-particle Cryo-EM, we conducted a direct comparison with the traditional Fourier transform and other methods, demonstrating the superior performance of the NUDFT. |
format | Article |
id | doaj-art-8443c9ce16d348b8a869bff50babaaf9 |
institution | Kabale University |
issn | 2590-1524 |
language | English |
publishDate | 2025-06-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Structural Biology: X |
spelling | doaj-art-8443c9ce16d348b8a869bff50babaaf92025-02-12T05:31:45ZengElsevierJournal of Structural Biology: X2590-15242025-06-0111100121Non-uniform Fourier transform based image classification in single-particle Cryo-EMZiJian Bai0Jian Huang1Corresponding author.; University College Cork, Room 1-57, First Floor, Western Gateway Building, Western Road, Cork, T12 XF62, IrelandUniversity College Cork, Room 1-57, First Floor, Western Gateway Building, Western Road, Cork, T12 XF62, IrelandIn the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier transform to the images and extract rotation-invariant features in the frequency domain. However, this process involves interpolation, which can reduce the accuracy of the results. In contrast, the non-uniform Fourier transform provides more direct and accurate computation of rotation-invariant features without the need for interpolation in the computation process. Leveraging the capabilities of the non-uniform discrete Fourier transform (NUDFT), we have developed an algorithm for the rotation-invariant classification. To highlight its potential and applicability in the field of single-particle Cryo-EM, we conducted a direct comparison with the traditional Fourier transform and other methods, demonstrating the superior performance of the NUDFT.http://www.sciencedirect.com/science/article/pii/S2590152425000029Non-uniform Fourier transform2D classificationRotation-invariant feature extractionSingle-particle Cryo-EM |
spellingShingle | ZiJian Bai Jian Huang Non-uniform Fourier transform based image classification in single-particle Cryo-EM Journal of Structural Biology: X Non-uniform Fourier transform 2D classification Rotation-invariant feature extraction Single-particle Cryo-EM |
title | Non-uniform Fourier transform based image classification in single-particle Cryo-EM |
title_full | Non-uniform Fourier transform based image classification in single-particle Cryo-EM |
title_fullStr | Non-uniform Fourier transform based image classification in single-particle Cryo-EM |
title_full_unstemmed | Non-uniform Fourier transform based image classification in single-particle Cryo-EM |
title_short | Non-uniform Fourier transform based image classification in single-particle Cryo-EM |
title_sort | non uniform fourier transform based image classification in single particle cryo em |
topic | Non-uniform Fourier transform 2D classification Rotation-invariant feature extraction Single-particle Cryo-EM |
url | http://www.sciencedirect.com/science/article/pii/S2590152425000029 |
work_keys_str_mv | AT zijianbai nonuniformfouriertransformbasedimageclassificationinsingleparticlecryoem AT jianhuang nonuniformfouriertransformbasedimageclassificationinsingleparticlecryoem |