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相关概念视频

Scanning Electron Microscopy01:07

Scanning Electron Microscopy

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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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Overview of Microscopy Techniques01:22

Overview of Microscopy Techniques

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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...
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相关实验视频

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Probing the Structure and Dynamics of Interfacial Water with Scanning Tunneling Microscopy and Spectroscopy
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Probing the Structure and Dynamics of Interfacial Water with Scanning Tunneling Microscopy and Spectroscopy

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扫描道显微镜的自动结构发现.

Lauri Kurki1, Niko Oinonen1,2, Adam S Foster1,3

  • 1Department of Applied Physics, Aalto University, Aalto, Espoo 00076, Finland.

ACS nano
|April 22, 2024
PubMed
概括

扫描道显微镜 (STM) 的自动结构发现使用机器学习从图像中预测原子结构. 这种工具有助于识别有机分子,扩大STM应用范围超出非接触式原子力显微镜 (nc-AFM).

科学领域:

  • 表面科学是一门学科.
  • 材料科学 材料科学 材料科学
  • 计算化学的计算化学

背景情况:

  • 扫描道显微镜 (STM) 可以同时提供几何和电子结构信息.
  • 解释STM信号具有挑战性,研究仅限于简单的平面样本.
  • 现有的结构发现方法主要用于非接触式原子力显微镜 (nc-AFM).

研究的目的:

  • 引入一种机器学习工具,用于从STM图像直接进行自动化原子结构预测.
  • 将成功的nc-AFM结构发现方法适应和应用到STM数据中.
  • 为了使用STM,对更广泛的样品进行直接的原子结构确定.

主要方法:

  • 使用机器学习开发用于STM (ASD-STM) 的自动结构发现.
  • 从nc-AFM研究中利用已建立的结构发现技术.
  • 在有机分子的实验性STM图像上应用和验证ASD-STM工具.

主要成果:

  • 在从STM图像中预测原子结构方面取得了良好的准确性.
  • 在有机分子的化学识别方面取得了良性成功.
  • 突出了未来发展的领域,以增强ASD-STM的能力.
关键词:
卷积神经网络是一种卷积神经网络.机器学习是机器学习.扫描探针显微镜 扫描探针显微镜扫描道显微镜扫描道显微镜发现结构的发现.尖端功能化的功能化

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相关实验视频

Last Updated: Jun 28, 2025

Probing the Structure and Dynamics of Interfacial Water with Scanning Tunneling Microscopy and Spectroscopy
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All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
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All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics

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Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
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Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

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结论:

  • ASD-STM可从STM图像中直接发现原子结构,从而扩大其应用范围.
  • 该方法使得先进的结构分析可供更广泛的扫描探针显微镜社区使用.
  • 这项工作为开发更复杂的STM数据分析机器学习方法铺平了道路.