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相关概念视频

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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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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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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相关实验视频

Updated: Jan 10, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

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在单分子定位显微镜中通过实验参数感知深度学习进行一键重建.

Alon Saguy1, Dafei Xiao2, Kaarjel K Narayanasamy3

  • 1Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.

Npj imaging
|November 25, 2025
PubMed
概括
此摘要是机器生成的。

通过提取实验参数,AutoDS和AutoDS3D通过提取实验参数来自动化超分辨率显微镜分析,减少手动调整和计算时间. 这些深度学习工具的性能与现有方法相比或优于现有方法,用户干预要少得多.

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Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
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Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

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相关实验视频

Last Updated: Jan 10, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

8.7K
Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
14:23

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

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科学领域:

  • 显微镜的使用方法
  • 生物物理学的生物物理.
  • 计算生物学 计算生物学

背景情况:

  • 深度神经网络 (DNN) 推进了显微镜图像分析,特别是在单分子局部化显微镜 (SMLM) 中.
  • DNN可以预测光体的位置,减少获取时间,增加SMLM的吞吐量.
  • 当前的DNN方法需要对训练数据进行大量的手动参数调整,限制了适应性并增加了劳动力.

研究的目的:

  • 在SMLM中引入AutoDS和AutoDS3D用于自动化超分辨率重建.
  • 通过自动提取实验参数来减少SMLM分析中的人类干预.
  • 提高SMLM数据处理的效率和用户友好性.

主要方法:

  • 根据Deep-STORM和DeepSTORM3D开发了AutoDS和AutoDS3D. 这两种系统都是基于深度风暴和深度风暴3D.
  • 从原始成像数据中实现了实验参数的自动提取.
  • AutoDS自动选择2D SMLM的最佳预训练模型;AutoDS3D提高了3D重建的效率,并集成了一个GUI用于一键处理.

主要成果:

  • 自动DS和AutoDS3D显著减少手工劳动和分析时间.
  • 与Deep-STORM,DeepSTORM3D和其他最先进的方法实现了可比或优于的性能.
  • 在2D分析中,使用AutoDS证明了完全消除用户监督.

结论:

  • 自动DS和AutoDS3D为SMLM超分辨率重建提供自动化,高效和用户友好的解决方案.
  • 这些方法克服了基于DNN的SMLM分析中手动参数调整的局限性.
  • 该软件可实现高性能SMLM分析,降低计算成本和专家干预.