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

Atomic Force Microscopy01:08

Atomic Force Microscopy

3.4K
Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
3.4K
Overview of Microscopy Techniques01:22

Overview of Microscopy Techniques

10.2K
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...
10.2K

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

Generative Artificial Intelligence and Large Language Models in Clinical Oncology.

MedComm·2026
Same author

Spectral convergence of sum-of-Gaussians tensor neural networks for many-electron Schrödinger equation.

The Journal of chemical physics·2026
Same author

A multi-model carbon estimation framework for new urban district planning-integrating land use, transportation, and investment-based emission models.

Scientific reports·2026
Same author

A staged vision-force collaborative framework for precision robotic insertion of metallic valve components.

Scientific reports·2026
Same author

A memristor-based method for discriminating tuberculous and malignant pleural effusions.

Materials today. Bio·2026
Same author

Assessment of disease severity in systemic sclerosis-associated interstitial lung disease using a modified lung ultrasound score: correlation with pulmonary function, HRCT, and clinical scores, and evaluation of diagnostic efficacy.

Clinical rheumatology·2026

相关实验视频

Updated: Jun 23, 2025

Bacterial Immobilization for Imaging by Atomic Force Microscopy
10:03

Bacterial Immobilization for Imaging by Atomic Force Microscopy

Published on: August 10, 2011

17.3K

基于AFM中的压力传感的自适应块成像.

Yuchuan Zhang1, Yongjian Chen1, Teng Wu1

  • 1School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, People's Republic of China.

Microscopy research and technique
|June 15, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了原子力显微镜 (AFM) 的自适应式块压缩传感 (BCS) 方法,以提高成像速度和质量. 新方法通过对不同样本区域的采样率进行智能调整,确保统一,高分辨率的表面形态图像.

关键词:
适应性采样率适应性采样率原子力显微镜 (AFM) 的使用背向传播的神经网络 (BPNN)区块压缩传感器 (BCS) 的使用连续的随机扫描连续的随机扫描.

更多相关视频

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
05:04

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

1.5K
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.3K

相关实验视频

Last Updated: Jun 23, 2025

Bacterial Immobilization for Imaging by Atomic Force Microscopy
10:03

Bacterial Immobilization for Imaging by Atomic Force Microscopy

Published on: August 10, 2011

17.3K
Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
05:04

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

Published on: June 13, 2023

1.5K
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.3K

科学领域:

  • 材料科学 材料科学 材料科学
  • 纳米技术纳米技术
  • 影像科学 影像科学

背景情况:

  • 原子力显微镜 (AFM) 提供高精度的表面形态测量,但标准扫描耗时.
  • 区块压缩传感 (BCS) 加快AFM成像,但在平衡局部图像质量方面存在困难,导致结果不均.
  • 现有的BCS-AFM方法经常过量采样平面区域或过少采样详细区域,从而损害效率和图像保真度.

研究的目的:

  • 开发一种创新的自适应BCS-AFM成像方法,用于统一,高质量和快速的表面形态分析.
  • 为了克服常规BCS-AFM在实现不同样本拓的一致图像质量的局限性.
  • 为了提高复杂样品的AFM成像的自动化和效率.

主要方法:

  • 一种可适应的BCS-AFM方法,利用重叠的块来减轻文物.
  • 整合特征参数 (GTV,Lu,SD) 来预测本地样本形态.
  • 使用反向传播神经网络来确定子块的最佳采样率.
  • 在自适应补充扫描后,使用TVAL3算法重建子块图像.

主要成果:

  • 拟议的自适应BCS方法在所有测试样本中实现了统一和优良的图像质量.
  • 与非适应性和其他适应性方案相比,成像速度显著改善.
  • 有效平衡的抽样率,防止平面地区的过量抽样和详细地区的不足抽样.
  • 在七个不同的样本上通过视觉检查和定量指标 (PSNR,SSIM) 验证.

结论:

  • 适应性BCS-AFM方法提供了一个高度自动化的解决方案,用于快速,高质量的表面成像.
  • 整合特征参数和BP神经网络使智能适应本地样本特征成为可能.
  • 这种方法显著提高了AFM在详细形态学研究中的实际实用性.