https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2025Kapnulin_Outlier2025Kapnulin Outlier - Revision history2026-06-13T12:16:53ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2025Kapnulin_Outlier&diff=4970&oldid=prevWikiSysop: Created page with "== Citation == L. Kapnulin, A. Heimowitz, and N. Sharon, “Outlier removal in cryo-EM via radial profiles,” J. Structural Biology, p. 108172, 2025. == Abstract == The process of particle picking, a crucial step in cryo-electron microscopy (cryo-EM) image analysis, often encounters challenges due to outliers, leading to inaccuracies in downstream processing. In response to this challenge, this research introduces an additional automated step to reduce the number of..."2025-04-15T15:28:44Z<p>Created page with "== Citation == L. Kapnulin, A. Heimowitz, and N. Sharon, “Outlier removal in cryo-EM via radial profiles,” J. Structural Biology, p. 108172, 2025. == Abstract == The process of particle picking, a crucial step in cryo-electron microscopy (cryo-EM) image analysis, often encounters challenges due to outliers, leading to inaccuracies in downstream processing. In response to this challenge, this research introduces an additional automated step to reduce the number of..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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L. Kapnulin, A. Heimowitz, and N. Sharon, “Outlier removal in cryo-EM via radial profiles,” J. Structural Biology, p. 108172, 2025.<br />
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== Abstract ==<br />
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The process of particle picking, a crucial step in cryo-electron microscopy (cryo-EM) image analysis, often<br />
encounters challenges due to outliers, leading to inaccuracies in downstream processing. In response to this<br />
challenge, this research introduces an additional automated step to reduce the number of outliers identified<br />
by the particle picker. The proposed method enhances both the accuracy and efficiency of particle picking,<br />
thereby reducing the overall running time and the necessity for expert intervention in the process. Experimental<br />
results demonstrate the effectiveness of the proposed approach in mitigating outlier inclusion and its potential<br />
to enhance cryo-EM data analysis pipelines significantly. This work contributes to the ongoing advancement of<br />
automated cryo-EM image processing methods, offering novel insights and solutions to challenges in structural<br />
biology research.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.sciencedirect.com/science/article/pii/S1047847725000073<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop