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

8.0K
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.
8.0K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

9.2K
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...
9.2K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

9.4K
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...
9.4K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.3K
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...
12.3K
Deconvolution01:20

Deconvolution

770
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...
770

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

DUAL-Net: Joint Domain-Invariant and User-Adaptive Feature Learning for Gesture Recognition.

Sensors (Basel, Switzerland)·2026
Same author

Modulating Electronic Structure via Bimetallic D<i>-</i>Band Engineering toward an Ultrasensitive Sensor Platform for Caffeic Acid in Food.

ACS sensors·2026
Same author

An ultra-sensitive photoelectrochemical sensor based on Sb<sub>2</sub>WO<sub>6</sub>/CuO p-n heterojunction for detection of carmine in food.

Analytica chimica acta·2026
Same author

Reluctance Modulation of Structured Magnetorheological Elastomers for Wireless Biomechanical Sensing.

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

Effect of Post-Mixing pH Regulation of a Gelatin-κ-Carrageenan System on the Structure and 3D Printing Performance of Yellow Peach Pulp Gels.

Gels (Basel, Switzerland)·2026
Same author

Temporal trends and disparities in mortality among US adults with chronic kidney disease and comorbid depression: a population-based analysis, 1999-2023.

Frontiers in public health·2026

相关实验视频

Updated: May 5, 2026

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K

LGIT:局部-全球相互作用变压器用于低光图像消噪.

Zuojun Chen1, Pinle Qin2, Jianchao Zeng1

  • 1School of Computer Science and Technology, North University of China, Taiyuan, 030051, China.

Scientific reports
|September 18, 2024
PubMed
概括

一个新的局部-全球交互变压器 (LGIT) 通过优化空间相关性和减少计算复杂性,有效地消除了大型,低光图像. 这种基于变压器的方法在图像消光性能方面超过了当前最先进的技术.

关键词:
交叉注意力交叉注意力交叉注意力在低光照明下,图像可以消除噪音.多个尺度的注意力.变压器变压器变压器

更多相关视频

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

11.5K
Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
08:44

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

67.2K

相关实验视频

Last Updated: May 5, 2026

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

11.5K
Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
08:44

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

67.2K

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 图像处理 图像处理

背景情况:

  • 基于变压器的方法通过捕捉全局图像依赖,在视觉任务中表现出色.
  • 现有的变压器因高计算复杂性和次优空间相关性优化而难以处理大型,低光噪声图像.

研究的目的:

  • 提出一种新的变压器架构,即局部-全球交互变压器 (LGIT),以实现高效和有效的图像消噪.
  • 解决现有方法在处理大,杂,低光图像方面的局限性.

主要方法:

  • 开发了LGIT,具有适应性策略,用于选择全球交互的相关补丁,减少计算负载.
  • 引入了由超像素细分指导的Top-N Patch Cross-Attention (TPCA) 模型,用于增强非本地自我相似性利用.
  • 纳入混合规模双门前网络 (MDGFF) 用于多规模的本地相关提取.

主要成果:

  • 在真实世界的图像揭露数据集上,LGIT表现出显著改善的定性和定量结果.
  • 拟议的TPCA和MDGFF组件有效地改善了信息聚合和局部特征提取.
  • LGIT的性能优于最先进的卷积神经网络 (CNN) 和基于变压器的无线化方法.

结论:

  • 在低光条件下,LGIT提供了一种计算效率高和高效的解决方案,用于在低光条件下消除大,杂的图像.
  • 这种新的架构成功地整合了本地和全球信息处理,以实现卓越的图像恢复.
  • LGIT代表了基于变压器的图像消光技术的重大进步.