https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2025Bai_NUDFT2025Bai NUDFT - Revision history2026-05-24T20:20:44ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2025Bai_NUDFT&diff=5017&oldid=prevWikiSysop: Created page with "== Citation == Z. Bai and J. Huang, “Non-uniform Fourier transform based image classification in single-particle Cryo-EM,” J. Structural Biology X, p. 100121, 2025. == Abstract == 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..."2025-07-08T06:54:48Z<p>Created page with "== Citation == Z. Bai and J. Huang, “Non-uniform Fourier transform based image classification in single-particle Cryo-EM,” J. Structural Biology X, p. 100121, 2025. == Abstract == 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..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Z. Bai and J. Huang, “Non-uniform Fourier transform based image classification in single-particle Cryo-EM,” J. Structural Biology X, p. 100121, 2025.<br />
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== Abstract ==<br />
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In the single-particle Cryo-EM projection image classification, it is a common practice to apply the Fourier<br />
transform to the images and extract rotation-invariant features in the frequency domain. However, this process<br />
involves interpolation, which can reduce the accuracy of the results. In contrast, the non-uniform Fourier<br />
transform provides more direct and accurate computation of rotation-invariant features without the need<br />
for interpolation in the computation process. Leveraging the capabilities of the non-uniform discrete Fourier<br />
transform (NUDFT), we have developed an algorithm for the rotation-invariant classification. To highlight its<br />
potential and applicability in the field of single-particle Cryo-EM, we conducted a direct comparison with the<br />
traditional Fourier transform and other methods, demonstrating the superior performance of the NUDFT.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.sciencedirect.com/science/article/pii/S2590152425000029<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop