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

6.9K
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...
6.9K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

7.4K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
7.4K

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

Occlusion-Aware Face Recognition via Adaptive Local Feature Fusion and Identity-Guided Contrastive Learning.

Sensors (Basel, Switzerland)·2026
Same author

Suppression of Escherichia coli O157:H7 by Pseudomonas fluorescens A506 on romaine lettuce leaves is independent of iron competition.

International journal of food microbiology·2026
Same author

Construction of selenium nanoparticles for the transmembrane absorption of <i>Polygonatum Sibiricum</i> polysaccharides and their antioxidant activity.

RSC advances·2026
Same author

Methodological comparisons for benefit-risk assessment in complex decision-making: applications and insights from a case study.

Frontiers in drug safety and regulation·2026
Same author

Mineral admixtures in shotcrete: A review of pozzolanic activity-based classification, micro-mechanisms and macroscopic performance.

Journal of environmental management·2026
Same author

Association of physical exercise characteristics with obstructive sleep apnea symptoms: A cross-sectional study.

Medicine·2026

相关实验视频

Updated: May 30, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

312

感知照明-结构补丁分解用于增强复杂的照明水下图像.

Xiangyu Deng, Kexin Zhu, Shaowei Rong

    Journal of the Optical Society of America. A, Optics, image science, and vision
    |January 31, 2025
    PubMed
    概括

    这项研究引入了一个新的模型来增强水下图像,提高亮度和细节. 感知照明结构补丁分解 (PISPD) 方法有效地应对复杂照明条件下的挑战.

    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 水下成像技术的研究.

    背景情况:

    • 水下图像因复杂的照明而退化,导致不均的曝光,颜色投射,低对比度和模糊的细节.
    • 现有的增光方法往往无法充分照亮黑暗区域或抑制过度曝光的区域.

    研究的目的:

    • 提出一种用于增强复杂照明水下图像的新型模型.
    • 解决现有方法在处理不均暴露和保存细节方面的局限性.

    主要方法:

    • 提出了一个感知照明结构补丁分解 (PISPD) 模型.
    • PISPD方法使用互补的输入:一个对比度增强的图像和一个细节利的图像.
    • 它将输入分解为感知照明图,对比度,结构和平均强度,并包含加权边缘保护因子.

    主要成果:

    • PISPD模型有效地平衡了亮度,并整合了来自互补输入的特征.
    • 引入了一个新的基准数据集,CLUID,包括990个复杂的照明水下图像.
    • 实验结果表明,PISPD在八种最先进的方法中表现优越.

    结论:

    • PISPD模型在增强复杂的照明水下图像方面取得了重大进展.

    更多相关视频

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.1K
    A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry
    06:36

    A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

    Published on: April 15, 2021

    3.6K

    相关实验视频

    Last Updated: May 30, 2025

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    312
    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.1K
    A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry
    06:36

    A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

    Published on: April 15, 2021

    3.6K
  • 该方法成功地减轻了常见的水下图像退化,如不均的曝光和低对比度.
  • 引入的CLUID数据集有助于进一步研究水下图像增强.