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Updated: Jul 2, 2025

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DeepSLICEM:使用深度图像和相似度图表表示方式对CryoEM粒子进行聚类

Meghana V Palukuri1,2, Edward M Marcotte1,2

  • 1Oden Institute for Computational Engineering and Sciences, University of Texas, Austin, TX 78712, USA.

bioRxiv : the preprint server for biology
|February 19, 2024
PubMed
概括

DeepSLICEM通过计算分离2D图像来增强宏分子结构的确定. 这种深度学习方法提高了分析结构生物学应用复杂生物样本的准确性.

关键词:
集群集成是指集群集成.低温电子显微镜的使用方法图形神经网络是一个神经网络.图像表示方法图像表示方法.

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Cryo-electron Microscopy01:28

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Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
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