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

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

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...

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

High-speed volumetric single-molecule imaging using dual-wavelength light sheets and PSF-engineered enhanced biplane detection.

bioRxiv : the preprint server for biology·2026

Same author

Versatile and Scalable Reflective Micromirrors for Single-Objective Light Sheet Microscopy.

Nano letters·2026

Same author

Increased Telomere Mobility in Progeria is Restored by Isoprenylcysteine Carboxyl Methyltransferase Inhibition.

bioRxiv : the preprint server for biology·2026

Same author

Quantitative Mapping of Nanoscale EGFR-Grb2 Assemblies by DNA-PAINT.

Chemphyschem : a European journal of chemical physics and physical chemistry·2026

Same author

Versatile and Scalable Reflective Micromirrors for Single-Objective Light Sheet Microscopy.

bioRxiv : the preprint server for biology·2026

Same author

Wash-Free Multi-Target Super-Resolution Microscopy With Photocaged DNA Labels.

Angewandte Chemie (International ed. in English)·2026

Search research articles

相关实验视频

Updated: May 17, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

在单分子定位显微镜中通过深度学习进行一键图像重建.

Alon Saguy, Dafei Xiao, Kaarjel K Narayanasamy

bioRxiv : the preprint server for biology

|May 16, 2025

概括

此摘要是机器生成的。

新的软件AutoDS和AutoDS3D自动化了单分子超分辨率显微镜分析. 这些工具减少了手工劳动和计算时间,提高了成像吞吐量,减少了在深度学习模型中对用户专业知识的需求.

更多相关视频

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

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

Published on: June 30, 2018

Super-resolution Imaging of the Bacterial Division Machinery

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

相关实验视频

Last Updated: May 17, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

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

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

Published on: June 30, 2018

Super-resolution Imaging of the Bacterial Division Machinery

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

科学领域:

生物物理学的生物物理.
显微镜的使用方法
计算生物学计算生物学

背景情况:

深度神经网络推进了显微镜图像分析,特别是在单分子局部化超分辨率显微镜中.
目前的方法需要大量的手动参数调整和专业知识,限制模型的概括性,并需要重新培训新的实验条件.

研究的目的:

介绍AutoDS和AutoDS3D,这些软件程序可以自动化单分子超分辨率显微镜数据重建.
显著减少分析显微镜数据所需的人类干预和计算专业知识.

主要方法:

AutoDS自动从原始成像数据中提取实验参数,以在2D中进行最佳模型选择.
AutoDS3D提高了计算效率,并集成了一个可单击重建3D图像的图形用户界面.
这两种方法分别基于Deep-STORM和DeepSTORM3D.

主要成果:

通过选择2D分析的最佳预训练模型,AutoDS消除了用户监督.
AutoDS3D为3D重建提供了更高的计算效率和精简的工作流.
这两种管道在复杂的生物样本上表现出高于Deep-STORM和DeepSTORM3D的性能.

结论:

在单分子超分辨率显微镜中,AutoDS和AutoDS3D显著减少了手工劳动和计算时间.
这些自动化工具提高了先进显微镜数据分析的可访问性和效率.
该软件允许对复杂的生物样本进行可靠的分析,用户干预最小.