Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.0K
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...
7.0K

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

Author Correction: Plasmonic printing of high-performance metal oxide electronics under room temperature.

Nature materials·2026
Same author

Recycling of spin-triplet excitons in organic photovoltaics.

Nature·2026
Same author

Extended valley lifetime and giant energy splitting induced by chiral plasmon-valley exciton selective coupling.

Nature communications·2026
Same author

Elucidating the Hierarchical Architecture of Polymer Spherulites via 4D Scanning Transmission Electron Microscopy.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Toward a Robust ZnO Interface via Fullerene-Based SAMs: Defect Passivation and Compatibility Tuning for High-Performance Inverted Organic Solar Cells.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Plasmonic tuning of dark-exciton radiation dynamics and far-field emission directionality in monolayer WSe<sub>2</sub>.

Science advances·2026

相关实验视频

Updated: Jul 6, 2025

Super-resolution Imaging of the Bacterial Division Machinery
08:47

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

11.8K

深度学习增强显微镜用于超分辨率成像纳米粒子.

Xin Hu, Xixi Jia, Kai Zhang

    Optics express
    |January 4, 2024
    PubMed
    概括

    深度学习提高了纳米结构的光学显微镜分辨率. 一个卷积神经网络 (CNN) 从模糊的图像中重建了超高分辨率的图像,从而实现了详细的纳米尺度表征.

    科学领域:

    • 纳米技术纳米技术
    • 光学显微镜的使用方法
    • 深度学习 (Deep Learning) 是一种深度学习.

    背景情况:

    • 传统的光学显微镜与低波长纳米结构作斗争,产生模糊的图像.
    • 分散有限模式包含隐藏的强度和相位信息,对于纳米尺度特征识别至关重要.

    研究的目的:

    • 开发一个深度学习框架,以提高金属纳米结构光学成像的空间分辨率.
    • 为了使定期排列和随机聚集的纳米粒子和纳米线的超高分辨率成像.

    主要方法:

    • 使用光学和扫描电子显微镜图像构建并预训练了一个卷积神经网络 (CNN).
    • 美国有线电视新闻网 (CNN) 被训练,从纳米粒子和银纳米线的模糊光学输入中恢复超分辨率图像.

    主要成果:

    • 美国有线电视新闻网成功地恢复了纳米粒子二次体和多次体的超高分辨率图像,准确地重建了配置和方向.
    • 该框架有效地消除了交叉连接的银纳米线图像的模糊性,在交叉点有轻微的差异.

    结论:

    • 深度学习增强框架提供计算超分辨率光学显微镜.
    • 这种方法在生物成像,纳米制造,表征和增强扫描电子显微镜分辨率方面具有潜在的应用.

    更多相关视频

    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    9.7K
    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
    10:01

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

    Published on: September 8, 2017

    7.8K

    相关实验视频

    Last Updated: Jul 6, 2025

    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    11.8K
    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    9.7K
    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
    10:01

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

    Published on: September 8, 2017

    7.8K