Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Atomic Force Microscopy

Atomic Force Microscopy

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...

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

Integrating network pharmacology, molecular docking, and experimental verification to investigate the mechanism of baicalein in colorectal cancer.

Journal of gastrointestinal oncology·2026

Same author

Comment on: "The status and determinants of demoralization in patients with colorectal cancer: a cross-sectional study in China".

Journal of cancer research and clinical oncology·2026

Same author

Atomic force microscopy for quantitative nanomechanical characterization of immune cells: techniques and applications in allergic responses.

Nanotechnology·2026

Same author

Ethnobotanical study on medicinal plants used by Jinuo people in Yunnan, China.

Journal of ethnobiology and ethnomedicine·2026

Same author

Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study.

Journal of magnetic resonance imaging : JMRI·2026

Same author

Machine learning-based retrieval of total nitrogen matter from an inland highly turbid lake using Landsat 8 OLI Imagery.

Environmental monitoring and assessment·2026

Search research articles

相关实验视频

Updated: Jul 23, 2025

Functionalization of Atomic Force Microscope Cantilevers with Single-T Cells or Single-Particle for Immunological Single-Cell Force Spectroscopy

Functionalization of Atomic Force Microscope Cantilevers with Single-T Cells or Single-Particle for Immunological Single-Cell Force Spectroscopy

Published on: July 10, 2019

基于原子力显微镜和修改后的残留神经网络的细胞识别.

Junxi Wang¹, Mingyan Gao¹, Lixin Yang²

¹International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China; Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China; Zhongshan Institute of Changchun University of Science and Technology, Zhongshan, China.

Journal of structural biology

|July 14, 2023

概括

这项研究引入了一种新的深度学习方法,使用原子力显微镜 (AFM) 进行精确的细胞类型识别. 该方法有效地分析物理特性,使通用自动化细胞信息分析成为可能.

关键词:

原子力显微镜的原子力显微镜.细胞机械性质细胞机械性质细胞识别细胞识别细胞表面形态细胞表面形态深度学习技术深度学习技术

更多相关视频

Visualization of Recombinant DNA and Protein Complexes Using Atomic Force Microscopy

Visualization of Recombinant DNA and Protein Complexes Using Atomic Force Microscopy

Published on: July 18, 2011

Atomic Force Microscopy of Red-Light Photoreceptors Using PeakForce Quantitative Nanomechanical Property Mapping

Atomic Force Microscopy of Red-Light Photoreceptors Using PeakForce Quantitative Nanomechanical Property Mapping

Published on: October 24, 2014

相关实验视频

Last Updated: Jul 23, 2025

Functionalization of Atomic Force Microscope Cantilevers with Single-T Cells or Single-Particle for Immunological Single-Cell Force Spectroscopy

Functionalization of Atomic Force Microscope Cantilevers with Single-T Cells or Single-Particle for Immunological Single-Cell Force Spectroscopy

Published on: July 10, 2019

Visualization of Recombinant DNA and Protein Complexes Using Atomic Force Microscopy

Visualization of Recombinant DNA and Protein Complexes Using Atomic Force Microscopy

Published on: July 18, 2011

Atomic Force Microscopy of Red-Light Photoreceptors Using PeakForce Quantitative Nanomechanical Property Mapping

Atomic Force Microscopy of Red-Light Photoreceptors Using PeakForce Quantitative Nanomechanical Property Mapping

Published on: October 24, 2014

科学领域:

细胞生物学细胞生物学
生物物理学的生物物理.
医学诊断医学诊断医学诊断

背景情况:

细胞识别在生物学和医学中至关重要.
原子力显微镜 (AFM) 提供了宝贵的细胞成像.
目前使用形态或机械性能的方法对一般癌症检测有局限性.

研究的目的:

开发一种通用且有效的细胞类型识别自动化方法.
利用细胞的物理特性与深度学习相结合,以进行增强的分析.
优化特征提取并降低细胞识别中的计算成本.

主要方法:

利用原子力显微镜 (AFM) 进行细胞成像.
采用修改后的残余神经网络,具有多尺度卷积融合,注意力机制和深度可分离卷积.
分析了细胞表面形态,粘附和扬模块以进行识别.

主要成果:

对不同细胞组 (HL-7702/SMMC-7721和SGC-7901/GES-1) 实现了高的识别率.
证明了结合物理性质 (形态学,粘附性,模) 可以提高识别精度.
展示了最佳图像分辨率的改进识别.

结论:

对细胞物理性质的深度学习分析提供了自动细胞识别的通用方法.
优化的卷积神经网络提高了特征提取效率,降低了运营成本.
这种方法为生物学和医学中自动化细胞信息分析提供了一个有前途的工具.