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相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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相关实验视频

Updated: Jul 14, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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[电子显微镜图像上的球超结构细分的基于区域级对比学习的深度模型]

G Lin1, Z Zhang1, Y Lu2

  • 1School of Biomedical Engineering//Guangdong Provincial Key Laboratory of Medical Image Processing//Guangdong Provincial Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
|June 14, 2023
PubMed
概括

超结构区域对比 (USRegCon) 是一种新的自我监督方法,使用未标记的电子显微镜图像改进了质超结构细分. 它通过学习区域表示来提高模型性能,克服数据稀缺性.

科学领域:

  • 电子显微镜成像分析分析电子显微镜.
  • 计算病理学计算病理学
  • 机器学习用于生物医学成像.
关键词:
电子显微镜的电子显微镜淋巴细胞超级结构细分的细分.被标记为数据稀缺性.自主监督的对比学习学习.

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