Non-uniform Fourier transform based image classification in single-particle Cryo-EM

被引:0
作者
Bai, Zijian [1 ]
Huang, Jian [1 ]
机构
[1] Univ Coll Cork, Room 1-57,First Floor,Western Gateway Bldg,Western, Cork T12 XF62, Ireland
来源
JOURNAL OF STRUCTURAL BIOLOGY-X | 2025年 / 11卷
关键词
Non-uniform Fourier transform; 2D classification; Rotation-invariant feature extraction; Single-particle Cryo-EM; ELECTRON; RECONSTRUCTION; SUITE;
D O I
10.1016/j.yjsbx.2025.100121
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:8
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