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

7.6K
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...
7.6K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

14.3K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
14.3K

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

Cross-modal fusion driven 5D imaging system integrating spectral, polarization, and 3D modalities.

Optics express·2026
Same author

SUIT: Spatial-Spectral Union-Intersection Interaction Network for Hyperspectral Object Tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
Same author

Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physics-informed learning.

Optics express·2023
Same author

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2022
Same author

Material Based Object Tracking in Hyperspectral Videos.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2020
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
查看所有相关文章

相关实验视频

Updated: Sep 11, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.5K

自主监督受约束的超分辨率快速编码的光谱成像系统

Zhuang Zhao, Yan Zhang, Jing Han

    Optics express
    |August 13, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种快速编码的光谱成像系统,使用自主监督学习来增强图像分辨率. 这种新的方法提高了高光谱图像质量,即使采样率低.

    更多相关视频

    Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion
    13:11

    Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

    Published on: February 10, 2023

    1.6K
    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    17.8K

    相关实验视频

    Last Updated: Sep 11, 2025

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion
    13:11

    Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

    Published on: February 10, 2023

    1.6K
    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    17.8K

    科学领域:

    • 光学是什么?光学是什么?
    • 图像处理 图像处理
    • 频谱学是一种光谱学.

    背景情况:

    • 目前的编码孔径光谱成像方法在速度和图像质量方面存在局限性,特别是在较低的采样速率下.
    • 开发更快,更高质量的光谱成像技术对于各种科学应用至关重要.

    研究的目的:

    • 提出一种新的自我监督受约束的超分辨率快速编码的光谱成像系统.
    • 通过将低分辨率的超光谱图像 (LR-HSI) 与高分辨率的多光谱图像 (HR-MSI) 融合,提高超光谱图像的分辨率.

    主要方法:

    • 构建一个离散的等号变换光谱仪 (DCTS) 来获取LR-HSI和HR-MSI.
    • 自主监督的光谱图像超分辨率网络 (SSAM-Unet) 的设计,以适应物理成像过程.
    • 使用SSAM-Unet对LR-HSI和HR-MSI进行融合,以重建高分辨率的超光谱图像 (HR-HSI).

    主要成果:

    • 通过有效地融合LR-HSI和HR-MSI,SSAM-Unet成功地重建了HR-HSI.
    • 拟议的系统在各种实验条件下表现出良好的成像性能和概括能力.
    • 该方法即使在显著低的采样率下也能获得令人满意的成像结果.

    结论:

    • 开发的自主监督受约束的超分辨率快速编码光谱成像系统在现有技术上取得了显著的进步.
    • 这种方法有效地解决了在光谱成像中成像速度缓慢和图像质量差的挑战.
    • 该系统对需要在资源有限的采样条件下采集高分辨率超光谱数据的应用非常有希望.