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Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

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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Updated: May 30, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

结构张量分析的验证用于大脑组织显微镜中的定向估计.

Bryson Gray¹, Andrew Smith¹, Allan MacKenzie-Graham¹

¹University of California, Los Angeles, Ahmanson-Lovelace Brain Mapping Center, 635 Charles E Young Dr S, Los Angeles, CA 90095, USA.

bioRxiv : the preprint server for biology

|January 27, 2025

概括

结构张量分析准确地估计了单一纤维的方向,但在交叉点上扎. 参数选择对于交叉纤维分析至关重要,特别是在脑成像中常见的异性质数据.

关键词:

轴心方向的方向轴心方向大脑的连接性大脑的连接性扩散式核磁共振成像 (MRI)结构张量分析结构张量分析曲谱学曲谱学曲谱学曲谱学验证验证验证验证白质是白质的组成部分.

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Last Updated: May 30, 2025

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科学领域:

神经成像是一种神经成像.
生物物理学的生物物理.
计算神经科学是一种神经科学.

背景情况:

通过扩散MRI精确地定位白质路径对于大脑连接研究至关重要.
目前的扩散MRI定位方法需要彻底验证.
与死后MRI共同注册的显微镜数据提供了一个强大的验证方法.

研究的目的:

调查结构张量分析用于估计轴突方向的准确性.
为了评估参数选择和数据异型性对准确性的影响.
为在神经成像中应用结构张量分析提供建议.

主要方法:

对带有和没有交叉的光纤配置进行了模拟研究.
在不同程度的异构分辨率的图像上检查方法的性能.
分析了2D和3D光学显微镜数据.

主要成果:

参数选择对单个方向估计准确度的影响很小,尽管异位性降低了准确度.
估计交叉纤维方向对参数选择非常敏感,不良选择产生随机结果.
不同类型的分辨率显著影响了结构张量分析的准确性.

结论:

结构张量分析对于单一纤维方向是可靠的,但对于交叉纤维需要仔细调整参数.
研究人员必须考虑数据异构性和参数选择,以确保准确的轴突方向估计.
这项研究量化了局限性,并为神经成像中的结构张量分析提供了指导.