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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.8K
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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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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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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Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

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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,...
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Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

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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...
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相关实验视频

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Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
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RepE:在非线性光学显微镜中用于图像增强的无监督表示学习.

Yun-Jie Jhang, Xin Lin, Shih-Hsuan Chia

    Optics letters
    |August 15, 2023
    PubMed
    概括

    RepE是一种新的无监督学习方法,可以有效地否定SHG和TPEF等非线性光学显微镜图像. 这种表示和增强技术在不需要干净杂的图像对的情况下工作,改善了癌症研究的图像质量.

    科学领域:

    • 生物医学成像学 生物医学成像学
    • 显微镜的使用方法
    • 机器学习 机器学习

    背景情况:

    • 非线性光学显微镜,包括第二子生成 (SHG) 和两光子光 (TPEF),对于生物和医学成像至关重要.
    • 图像噪声是这些模式的一个重大挑战,阻碍了准确的分析,特别是在病理样本,如食道癌组织幻灯片 (ESCC).
    • 现有的无色化方法通常需要配对干净和噪音图像,或者依赖特定的统计假设,限制其适用性.

    研究的目的:

    • 引入RepE (表示和增强),一种无监督的学习方法,用于否定非线性光学显微镜图像.
    • 通过消除对数据和统计假设的需要,解决当前无色化技术的局限性.
    • 为了评估RepE在真实世界SHG和TPEF图像上的表现,从食道癌组织的幻灯片.

    主要方法:

    • RepE使用编码器网络来学习无噪声的图像表示.
    • 一个重建网络被用来从这些学习的表示生成denoised图像.
    • 该方法只需要少量训练图像,并且没有限制性的统计假设.

    主要成果:

    • RepE成功地消除了各种噪音类型的非线性光学显微镜图像.
    • 对比评估表明,RepE在基于图像质量指标的ESCC幻灯片中的现实世界SHG和TPEF图像上优于现有无色化技术.

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  • 该方法在实际应用中证明了其稳定性和有效性.
  • 结论:

    • RepE提供了一种实用且强大的无监督学习解决方案,用于消除非线性光学显微镜图像的模糊性.
    • 该方法在没有清洁噪音对和统计假设的情况下工作的能力使其广泛适用.
    • RepE有可能扩展到其他非线性光学显微镜模式,在生物医学研究中推进图像分析.