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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

12.3K
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...
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Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

15.3K
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...
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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.9K
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...
14.9K

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相关实验视频

Updated: Apr 13, 2026

Long-term High-Resolution Intravital Microscopy in the Lung with a Vacuum Stabilized Imaging Window
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Long-term High-Resolution Intravital Microscopy in the Lung with a Vacuum Stabilized Imaging Window

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预先视觉引导的自我监督学习使得高通量显微镜成像的色彩微调校正成为可能.

Jianhang Wang, Tianyu Ma, Luhong Jin

    IEEE journal of biomedical and health informatics
    |October 16, 2024
    PubMed
    概括

    一种新的深度学习方法,微图校正查找表 (VCLUT),有效地消除了微观图像中的光学微图. 这种自我监督的方法提高了高通量数字显微镜的生物医学成像质量.

    科学领域:

    • 生物医学成像技术 生物医学成像技术
    • 光学显微镜的使用方法
    • 深度学习 (Deep Learning) 是一种深度学习.

    背景情况:

    • 纹是一种常见的光学缺陷,降低了微观图像质量.
    • 现有的微图校正方法缺乏稳定性和效率,特别是对于多频道图像.

    研究的目的:

    • 开发一种自我监督的深度学习算法,用于在彩色显微镜图像中进行强大的微图校正.
    • 引入一种新的方法,即微图校正查找表 (VCLUT),用于复杂的微图删除.

    主要方法:

    • 利用了对图像同质性和微图的辐射衰减特性的先前知识.
    • 采用对抗式学习,将最佳成像条件从中央区域传输到整个图像中.
    • 开发了一个可训练的算法,适用于单个和多个图像.

    主要成果:

    • 在对各种生物标本进行的个别校正实验中,VCLUT在经典方法上表现出优越的性能.
    • 多图像方法在病理学数据集分析 (定性和定量) 中比最先进的方法具有优势.
    • 实现了跨不同微图强度和超高速计算的概括.

    结论:

    • 微图校正查询表 (VCLUT) 为生物医学显微镜中的微图提供了一个有效的解决方案.

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  • 该方法的速度和概括能力使其适用于高通量数字显微镜管道.