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Updated: Jul 2, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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在光学投影断层扫描中,在sinogram域中使用高度泛化的深度学习进行了几次视图的重建.

Jiahao Sun1, Fang Zhao1, Lanxin Zhu1

  • 1School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.

Biomedical optics express
|February 29, 2024
PubMed
概括

本研究介绍了SinNet,这是一种用于光投影断层扫描 (OPT) 重建的深度学习方法. SinNet显著提高了图像质量,更少的视图,克服了传统方法的局限性.

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Electron Microscope Tomography and Single-particle Reconstruction01:07

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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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