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相关概念视频

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: Jun 26, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

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线性空间变体模型用于里埃图形显微镜.

Tianci Feng, Aiye Wang, Zhiping Wang

    Optics letters
    |May 15, 2024
    PubMed
    概括

    里埃图形显微镜 (FPM) 重建得到了新的线性空间变量 (LSV) 模型的改进. 在不丢弃数据的情况下,LSV-FPM有效地删除了 vignetting 文物,提高了研究人员的成像质量.

    科学领域:

    • 光学和光子学 在光学和光子学.
    • 显微镜技术 显微镜技术
    • 计算成像技术的成像

    背景情况:

    • 里埃图形显微镜 (FPM) 重建通常会受到细分工件的影响,导致不均的颜色块和接问题.
    • 当前的FPM方法依赖于图像细分和数据丢弃来缓解这些文物,影响重建质量.
    • 根本原因是获得的数据与线性空间不变 (LSI) 前进模型之间的不匹配,忽视了二次相调节.

    研究的目的:

    • 为了解决FPM中持久的 vignetting 文物.
    • 开发一个新的FPM模型,准确地描述数据采集过程.
    • 为了提高FPM重建的质量和可靠性,而无需手动数据处理.

    主要方法:

    • 对FPM进行线性空间变量 (LSV) 前模型的重新导出.
    • 开发了一个相应的损失函数,称为LSV-FPM.
    • 使用LSV-FPM模型来处理FPM数据的优化.

    主要成果:

    • LSV-FPM有效地去除由维涅特引起的纹文物.
    • 新方法消除了对图像细分或丢弃有问题的数据的需求.
    • 对LSV-FPM在4f和有限联单镜系统数据上的成功验证.

    更多相关视频

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    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
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    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

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    相关实验视频

    Last Updated: Jun 26, 2025

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
    09:04

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

    Published on: February 23, 2018

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    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
    12:26

    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

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    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

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    结论:

    • 拟议的LSV-FPM模型准确地解释了FPM数据采集期间的二次相调节.
    • LSV-FPM提供了强大的解决方案来移除文物,显著提高了FPM重建质量.
    • 这一进步为FPM研究人员提供了更令人满意的用户体验和可靠的成像结果.