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在近乎生理条件下的神经元的纳米尺度成像,使用场发射扫描电子显微镜

Yuri Yamada¹, Takaaki Hatanaka¹, Minoru Hirano¹

¹Toyota Central R&D Labs., Inc, Nagakute, Japan.

Microscopy research and technique

|January 14, 2026

概括

一种经过修改的NanoSuit方法保留了培养的神经元形态,用于高分辨率扫描电子显微镜 (SEM). 这种技术增强了神经元结构的可视化,并使相关光和电子显微镜 (CLEM) 能够用于分子定位.

科学领域:

神经科学是一个神经科学.
细胞生物学细胞生物学
显微镜的使用方法

背景情况:

了解神经功能需要在纳米尺度上可视化神经元超结构.
传统的扫描电子显微镜 (SEM) 样本准备会导致形态扭曲.
环境SEM需要专门的和昂贵的设备.

研究的目的:

提交和验证一个修改的NanoSuit协议用于培养神经元的SEM检查.
为了比较改进的NanoSuit方法与标准的脱水制备.
评估NanoSuit方法对可视化神经元形态和启用相关显微镜的有效性.

主要方法:

一个修改后的NanoSuit协议被开发用于培养神经元的SEM样本准备.
修改后的NanoSuit方法与基于脱水的传统方法进行了比较.
相关光电子显微镜 (CLEM) 使用修改后的NanoSuit协议实现.

主要成果:

经过修改的NanoSuit方法保留了神经元形态,避免了通过传统方法观察到的微细过程的切割和损失.
高分辨率的SEM成像清楚地可视化了细神经细胞及其相互作用.
通过CLEM成功地将细胞骨蛋白 (actin,tubulin) 与SEM观察到的表面特征同位.

结论:

与传统方法相比,修改后的NanoSuit协议为培养神经元的SEM提供了优越的形态保护.
这种方法可以通过CLEM对神经元结构和分子定位进行详细的可视化.
该技术有利于研究神经发育,突触连接和生物医学应用.

关键词:

纳米西装纳米西装纳米西装现场发射扫描电子显微镜扫描电子显微镜在纳米尺度上进行分析.神经元神经元的神经元湿生生物标本湿生生物标本

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相关概念视频

Scanning Electron Microscopy

Scanning Electron Microscopy

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
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Overview of Electron Microscopy

Overview of Electron Microscopy

The wavelengths of visible light ultimately limit the maximum theoretical resolution of images created by light microscopes. Most light microscopes can only magnify 1000X, and a few can magnify up to 1500X. Electrons, like electromagnetic radiation, can behave like waves, but with wavelengths of 0.005 nm, they produce significantly greater resolution up to 0.05 nm as compared to 500 nm for visible light. An electron microscope (EM) can create a sharp image that is magnified up to 2,000,000X.