@inbook{803aa135de2b4095a30784fe06a03c68,
title = "Non-uniform Fourier transform based rotational alignment in single-particle Cryo-EM",
abstract = "In the realm of single-particle Cryo-EM's 2D align-ment problem, conventional practice necessitates interpolation as an intermediate step before applying the Fourier transform to address the in-plane rotation angle. Unfortunately, this interpo-lation process tends to introduce errors, making the process less precise. In contrast, the Non-uniform Fourier transform offers a more direct and accurate mathematical foundation for analyzing and computing the in-plane rotation angle, eliminating the need for interpolation in related problem-solving tasks. Leveraging the capabilities of the Non-uniform Fourier transform, we have developed an algorithm for in-plane rotation angle estimation. To underscore its potential and applicability in the field of single-particle Cryo-EM, we have conducted a direct comparison with the traditional Fourier transform, demonstrating the superior performance of the Non-uniform Fourier transform.",
keywords = "2D alignment, in-plane rotation, Non-uniform Fourier transform, single- particle Cryo- Em",
author = "Zijian Bai and Jian Huang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023 ; Conference date: 08-12-2023 Through 10-12-2023",
year = "2023",
doi = "10.1109/ITAIC58329.2023.10408753",
language = "English",
series = "IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1457--1463",
editor = "Bing Xu and Kefen Mou",
booktitle = "IEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference",
address = "United States",
}