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Updated: Jul 6, 2025

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在使用深度学习的稀疏标记3D电子显微镜图像上细分细胞超结构

Archana Machireddy1, Guillaume Thibault2,3, Kevin G Loftis2

  • 1Program of Computer Science and Electrical Engineering, Oregon Health and Science University, Portland, OR, United States.

Frontiers in bioinformatics
|January 1, 2024
PubMed
概括

深度学习在瘤的3D FIB-SEM图像中准确地细分细胞和亚细胞结构. 这种先进的瘤细胞和器官细分有助于理解癌症进展和开发新疗法.

关键词:
细胞边界的细胞边界.深度神经网络是一个神经网络.电子显微镜的电子显微镜细分化 细分化的细分化细胞下超结构的超结构

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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