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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

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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相关实验视频

Updated: Jul 16, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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使用点差函数工程的单拍扩展视野成像使用点差函数工程.

Ritika Malik, Kedar Khare

    Journal of the Optical Society of America. A, Optics, image science, and vision
    |September 14, 2023
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    概括
    此摘要是机器生成的。

    本研究介绍了一种新的计算成像系统,该系统使用瞳孔相位工程来实现扩展视野 (eFOV). 该系统通过稀疏优化解码乱的原始图像,实现4倍的像素增长而不会牺牲空间分辨率.

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    相关实验视频

    Last Updated: Jul 16, 2025

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    Published on: February 12, 2014

    8.5K
    Conducting Multiple Imaging Modes with One Fluorescence Microscope
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    科学领域:

    • 计算成像技术的成像
    • 光学工程是指光学工程.
    • 图像重建 图像的重建

    背景情况:

    • 传统的光学系统受到物理传感器边界的限制.
    • 扩展视野 (FOV) 是成像中的一个重大挑战.

    研究的目的:

    • 开发一个单拍计算成像系统,以扩展视野 (FOV) 超出物理传感器的限制.
    • 分析多点脉冲响应 (MPIR) 的设计权衡,用于扩展FOV成像.

    主要方法:

    • 采用学生阶段工程来创建多点冲动响应 (MPIR).
    • 使用稀疏优化算法来解码乱的原始图像.
    • 在MPIR设计中研究了信息收集和对比之间的权衡.

    主要成果:

    • 在本地检测区域上显示了像素的4倍增长.
    • 实现了扩展FOV成像性能,而不会损失空间分辨率.
    • 通过模拟和实验结果验证了系统.

    结论:

    • 拟议的MPIR模型通过收集超越传感器边界的信息来实现扩展FOV成像.
    • 信息获取和原始数据对比之间的平衡对于高质量的重建至关重要.
    • 该系统的设计原则可以适应各种需要扩展FOV的成像应用.