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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

5.3K
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...
5.3K
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
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
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

506
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
506
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

496
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
496
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

9.5K
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...
9.5K

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

Assessment of the Immunological Effects of DNA Vaccines Carrying Antigen Genes for OVA, OMP and OVA-OMP Against Aeromonas hydrophila and Aeromonas caviae Infections in Sinocyclocheilus grahami and Oreochromis niloticus.

Journal of fish diseases·2026
Same author

Whey protein-gallic acid-pectin covalent conjugates improved emulsion stability and bioaccessibility of β-carotene.

Food chemistry·2026
Same author

Comparison of the binding mechanisms and bioactivities of kaempferol and galangin targeting the TLR4 protein: Multispectral analysis and molecular simulation.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Global, regional, and national burden of disease for high BMI-related ischemic stroke in people aged 70 and older: trend analysis from 1990 to 2021 and projections for 2044.

Frontiers in neurology·2026
Same author

Mechanisms of Isoliquiritigenin Against Protein Glycation: A Comparative Study in PBS Solution and Crowding Environment.

Foods (Basel, Switzerland)·2026
Same author

Ovalbumin-proanthocyanidin‑sodium alginate conjugate-based oleogels: Construction, characterization and resveratrol delivery performance.

Food chemistry·2026

相关实验视频

Updated: Sep 11, 2025

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
10:35

Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

Published on: October 17, 2016

8.0K

基于深度学习的多模光纤成像多个对象,具有不同的空间连贯性和不同的极化.

Haosen Pu, Hao Wu, Guowen Zhang

    Optics express
    |August 13, 2025
    PubMed
    概括

    研究人员开发了一个深度学习模型,TDUNet (双解码器-UNet),通过多模光纤 (MMF) 经过后,从单个斑点模式重建两个对象的图像. 该模型实现了高保真重建,即使在低激光空间连贯性.

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 机器学习 机器学习
    • 图像重建 图像的重建

    背景情况:

    • 通过多模光纤 (MMF) 用连贯激光照明单个物体,导致丢失的物体信息斑纹图案.
    • 深度学习方法已经在从斑点图案的高保真图像重建方面取得了成功.
    • 从复杂的光学系统中重建图像,如MMF,仍然是一个挑战.

    研究的目的:

    • 开发一种深度学习模型,能够从单个斑点图案中重建两个对象的图像.
    • 为了研究模型在不同的空间连贯性和照明激光的极化条件下的性能.
    • 在涉及多个对象和平面的更一般的场景中评估图像重建的可行性.

    主要方法:

    • 一个新的神经网络,TDUNet (两个解码器-UNet),被设计和训练用于图像重建.
    • 这项研究涉及在不同的平面上照亮两个物体,使用不同空间连贯度和直角偏振的激光.
    • 光线通过多模纤维,在远端产生斑点图案,然后用于重建.

    主要成果:

    • 经过训练的TDUNet成功地从单个斑点图案中重建了高质量的图像.
    • 该模型展示了两个对象的高保真重建,即使照明激光具有较低的空间连贯性.
    • 实验结果表明,与第二个相比,第一层对象的重建性能略有改善.

    更多相关视频

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.0K
    Conducting Multiple Imaging Modes with One Fluorescence Microscope
    08:32

    Conducting Multiple Imaging Modes with One Fluorescence Microscope

    Published on: October 28, 2018

    10.0K

    相关实验视频

    Last Updated: Sep 11, 2025

    Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis
    10:35

    Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

    Published on: October 17, 2016

    8.0K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.0K
    Conducting Multiple Imaging Modes with One Fluorescence Microscope
    08:32

    Conducting Multiple Imaging Modes with One Fluorescence Microscope

    Published on: October 28, 2018

    10.0K

    结论:

    • TDUNet有效地从多模纤维产生的复杂的斑点图案中重建多个对象的图像.
    • 开发的深度学习方法克服了用于图像重建的激光照明中空间连贯性低的局限性.
    • 这项工作推动了利用人工智能进行光学图像重建的领域,特别是在具有挑战性的场景中.