Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Structural relaxation and domain formation in anisotropically strained La<sub>0.7</sub>Sr<sub>0.3</sub>MnO<sub>3</sub>/LaFeO<sub>3</sub> superlattices on DyScO<sub>3</sub>(101).

Scientific reports·2026
Same author

Self-rated health as a predictor of mortality and healthcare use in older adults at high risk of hospitalisation: a prospective cohort study in Sweden.

BMJ open·2025
Same author

Accessible and thorough magnetic field mapping of TEMs using a commercial Hall-sensor and TEM automation for in situ magnetic experiments.

Micron (Oxford, England : 1993)·2025
Same author

Association between frailty and pain in older people at high risk of future hospitalization.

Frontiers in pain research (Lausanne, Switzerland)·2025
Same author

On the effect of precession for magnetic differential phase contrast imaging.

Micron (Oxford, England : 1993)·2024
Same author

Reasons for hospitalisation and cumulative mortality in people, 75 years or older, at high risk of hospital admission: a prospective study.

BMC geriatrics·2024
Same journal

Deep PACBED: Multitask analysis of PACBED images using deep neural networks.

Ultramicroscopy·2026
Same journal

Guided progressive reconstructive imaging: A new quantization-based framework for low-dose, high-throughput and real-time analytical ptychography.

Ultramicroscopy·2026
Same journal

Brightness optimization in a 200 keV DTEM source by geometry-driven aberration suppression.

Ultramicroscopy·2026
Same journal

Characterization of the Timepix4 hybrid pixel detector and its impact on four-dimensional scanning transmission electron microscopy (4D-STEM).

Ultramicroscopy·2026
Same journal

Contamination analysis of the residual gas composition in transmission electron microscopy.

Ultramicroscopy·2026
Same journal

Temperature-dependent mean inner potential of polystyrene spheres measured using off-axis electron holography.

Ultramicroscopy·2026
查看所有相关文章

相关实验视频

Updated: Jun 10, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.6K

探索4D-STEM-DPC数据处理的深度学习模型.

Gregory Nordahl1, Sivert Dagenborg1, Jørgen Sørhaug1

  • 1Department of Physics, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.

Ultramicroscopy
|October 10, 2024
PubMed
概括
此摘要是机器生成的。

使用卷积神经网络 (CNN) 的监督学习提供了使用差分相对比 (DPC) 成像进行纳米级磁性材料分析的自动处理. 这种方法提高了分析四维扫描传输电子显微镜 (4D-STEM) 数据的一致性和准确性.

关键词:
4D-STEM是一个4D-STEM.卷积神经网络是一种卷积神经网络.不同相位对比的相位对比差异.磁性薄膜成像技术 磁性薄膜成像

更多相关视频

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

3.7K

相关实验视频

Last Updated: Jun 10, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.6K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

3.7K

科学领域:

  • 材料科学 材料科学 材料科学
  • 纳米科学是一个纳米科学.
  • 数据科学数据科学数据科学

背景情况:

  • 分相对比 (DPC) 成像对于纳米磁性材料至关重要.
  • 直接探测器技术的进步推动了对增强四维扫描传输电子显微镜 (4D-STEM) 数据处理的需求.
  • 传统的DPC处理算法通常是根据特定的实验条件量身定制的.

研究的目的:

  • 探索监督学习与卷积神经网络 (CNN) 的应用,用于自动化STEM-DPC数据处理.
  • 研究两种不同的基于CNN的DPC数据分析方法.
  • 将CNN模型的性能与传统算法进行比较,特别是关于衍射对比度和域壁表征.

主要方法:

  • 在实验获得的4D-STEM数据上培训CNN.
  • 实施基于回归的方法,用于直接光束跟踪.
  • 使用修改后的U-net架构进行直接光束细分作为预处理步骤.
  • 将模型输出与常规算法进行比较,以获得准确性和一致性.

主要成果:

  • 在类似的仪器参数下获得的STEM-DPC数据,CNN可以有效地处理.
  • 开发的模型表现出强大的性能,即使存在强的衍射对比.
  • 对域墙形状和宽度测量的分析显示,使用CNN的结果可比或更好.

结论:

  • 使用CNN的监督学习为STEM-DPC数据处理提供了强大而自动化的解决方案.
  • 这些方法提高了纳米磁性材料表征的一致性和可靠性.
  • 基于CNN的方法为传统的实验性定制算法提供了可行的替代方案.