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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: Sep 11, 2025

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

用于CT重建的3D扩散后面采样

Peiqing Teng¹, Xiao Jiang², Liang Cai³

¹Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.

Proceedings of SPIE--the International Society for Optical Engineering

|August 11, 2025

概括

此摘要是机器生成的。

本研究介绍了用于计算机断层扫描 (CT) 重建的3D扩散后面采样 (DPS),克服了以前2D模型的计算限制. 该研究提出了使用神经网络进行高效的3D DPS CT重建的策略.

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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

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Published on: October 24, 2019

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

相关实验视频

Last Updated: Sep 11, 2025

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

科学领域:

医疗成像医学成像
计算机视觉计算机视觉
人工智能的人工智能

背景情况:

扩散模型擅长生成高质量的图像.
扩散后面采样 (DPS) 提供无监督的学习和CT恢复和重建的灵活性.
目前的DPS方法主要局限于2D,而临床CT本质上是3D.

研究的目的:

开发和评估用于3D扩散后面采样 (DPS) CT重建的策略.
为应对将3D DPS应用于现实的CT体积的计算挑战.
通过使用先进的生成模型实现高效和有效的3DCT重建.

主要方法:

实现一个3D神经网络来学习DPS的先前分布.
修改标准DPS算法以减少内存使用量和增加采样速度.
对实现现实的CT体积大小3D DPS的替代策略的评估.

主要成果:

开发用于3D DPS CT重建的计算可行的策略.
显著降低了内存需求,并加速了3D DPS的采样速度.
在CT中实施3D DPS的不同策略的比较分析.

结论:

拟议的策略使CT重建的实用3D DPS成为可能,克服了以前的计算障碍.
这项研究有助于将先进的生成模型应用于复杂的3D医学成像任务.
这项工作为使用扩散模型进行更有效,更准确的3DCT重建铺平了道路.