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相关概念视频

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

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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 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...
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相关实验视频

Updated: Jun 15, 2025

Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry
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通过直接扩散桥梁提升基金图像.

Sehui Kim, Hyungjin Chung, Se Hie Park

    IEEE journal of biomedical and health informatics
    |August 21, 2024
    PubMed
    概括
    此摘要是机器生成的。

    我们介绍FD3,一种使用直接扩散桥梁的新型 fundus 图像增强方法. 这种方法有效地改善了由于雾,模糊,噪音和阴影而退化的低质量的视网膜图像,优于现有方法.

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    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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    Diffusion Imaging in the Rat Cervical Spinal Cord
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    相关实验视频

    Last Updated: Jun 15, 2025

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    Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry

    Published on: January 9, 2014

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    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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    Diffusion Imaging in the Rat Cervical Spinal Cord
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    科学领域:

    • 眼科医生 眼科 眼科
    • 医疗成像医学成像
    • 人工智能的人工智能

    背景情况:

    • 低质量的 fundus 图像在眼科诊断中存在挑战.
    • 现有的图像增强方法与雾,模糊,噪音和阴影等各种退化作斗争.

    研究的目的:

    • 开发一种强大的 fundus 图像增强方法,能够处理复杂的退化.
    • 创建一个基于扩散的网络,作为一个独立的增强工具.

    主要方法:

    • 提出了一种通过与眼科医生的人类反循环开发的合成前模型.
    • 训练了一种灵活的,基于扩散的图像增强网络,使用合成前模型.
    • 在合成和体内低质量的 fundus 图像上对该方法进行了评估.

    主要成果:

    • FD3有效地增强 fundus 图像与各种复杂的退化.
    • 该方法与以前的方法相比,显示出更高的性能.
    • 在体内研究中,FD3显示出显著的改善,包括白内障或小瞳孔患者的图像.

    结论:

    • FD3提供了一个强大的,独立的解决方案,用于 fundus 图像增强.
    • 拟议的合成前模型和扩散网络将推动医疗图像处理领域的发展.
    • 这种方法有可能从低质量的 fundus 摄影中提高诊断准确度.