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相关概念视频

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

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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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相关实验视频

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A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
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未训练的神经网络使得快速和普遍的结构化照明显微镜成为可能.

Zitong Ye, Xiaoyan Li, Yile Sun

    Optics letters
    |May 1, 2024
    PubMed
    概括

    这项研究介绍了结构化照明显微镜 (SIM) 的未经训练的神经网络,这大大降低了超高分辨率成像的数据要求. 该方法使用更少的重建高保真图像,增强显微镜中的时间分辨率.

    科学领域:

    • 显微镜的使用方法
    • 光学成像技术的成像
    • 计算成像技术的成像

    背景情况:

    • 结构照明显微镜 (SIM) 提高了超出光学衍射极限的分辨率.
    • 目前的SIM重建,特别是对于斑点SIM,需要大量的原始,限制时间分辨率.
    • 重建斑点SIM特别耗时,因为需要数百个.

    研究的目的:

    • 开发用于SIM重建的未经训练的神经网络,以减少原始数据需求.
    • 通过最大限度地减少获取的数量来提高斑点SIM的时间分辨率.
    • 以显著减少输入数据来实现高保真超分辨率 (SR) 图像.

    主要方法:

    • 提出了一个未经训练的结构化照明重建神经网络 (USRNN),利用已知的照明模式.
    • 使用无监督优化策略与卷积神经网络 (CNN) 结构先验相结合.
    • 减少了20倍的SIM重建所需的原始数据.

    主要成果:

    • 重建了高保真SR图像,使用5或更少的约两倍的分辨率增强.
    • 在不需要培训数据集的情况下,证明了高频信息获取.
    • 在非生物和生物样本中实现了高速重建和高通用性.

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    结论:

    • 该USRNN方法显著加速SIM重建,特别是在斑点SIM.
    • 这种方法可以实现高分辨率成像,并大幅减少数据采集,改善时间分辨率.
    • 该方法在各种样本类型中显示了广泛的适用性和高性能.