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

Light Acquisition02:16

Light Acquisition

9.3K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.3K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

8.7K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
8.7K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.1K
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...
12.1K
Deconvolution01:20

Deconvolution

527
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
527
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.9K
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...
11.9K
Focusing of Light in the Eye01:16

Focusing of Light in the Eye

5.3K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
5.3K

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

Association of atmospheric oxidants and fine particulates with polycystic ovary syndrome and the reproductive trajectory: Protective role of residential greenness.

Journal of hazardous materials·2026
Same author

Photovoltaics for space applications.

Communications engineering·2026
Same author

Beyond the Acid-Thermal Method: Efficient Preparation Strategies and Functional Research Progress of Amyloid Fibril.

Comprehensive reviews in food science and food safety·2026
Same author

Red Jujube Juice Fermented with <i>Pediococcus pentosaceus</i> and Its Antioxidant Activity in C2C12 Cells.

Foods (Basel, Switzerland)·2026
Same author

OrgLine: A versatile pipeline for organoid morphometry using detector-guided prompts.

Cell reports methods·2026
Same author

Effects of Polyethylene Microplastics on Seed Germination, Seedling Growth, and Physiological Characteristics of Maize.

Bulletin of environmental contamination and toxicology·2026

相关实验视频

Updated: Jan 9, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

996

多分支低光图像代增强网络多分支

Yiwen Dou1,2, Yiting Gao3, Mei Gao3

  • 1School of Computing and Information Technology, Anhui Polytechnic University, Wuhu, 241000, China. douyw@ahpu.edu.cn.

Scientific reports
|December 3, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的多分支低光图像代增强网络 (MBLLIE-Net),用于在低光条件下提高图像质量. MBLLIE-Net有效地提高了亮度,分辨率和细节,优于现有的方法.

更多相关视频

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

2.3K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.0K

相关实验视频

Last Updated: Jan 9, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

996
Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

2.3K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.0K

科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • 低光成像的挑战包括亮度,分辨率和细节差.
  • 由于直接映射的局限性,现有的深度学习方法与各种现实世界低光条件作斗争.

研究的目的:

  • 提出一个新的网络,多分支低光图像代增强网络 (MBLLIE-Net),用于强大的低光图像增强.
  • 解决特征提取,空间依赖模型以及现有方法的注意力道的局限性.

主要方法:

  • 采用多分支架构,以在各种深度和尺度上增强特征提取.
  • 引入空间循环单位 (SRU),以改进远程空间依赖模型.
  • 包含一个自适应感应场频道注意 (ARFCA) 模块,用于精确的频道特征选择.

主要成果:

  • 在各种低光场景中,MBLLIE-Net有效地恢复了照明,细节和颜色保真.
  • 代的精细化过程确保了图像质量的逐步改善.
  • 在定量指标和人类感知评估方面表现优于现有的单路径方法.

结论:

  • 在低光条件下,MBLLIE-Net在图像增强方面取得了显著的进步.
  • 拟议的架构和模块有效地解决了该领域的关键挑战.
  • 在各种低光条件下表现出卓越的性能.