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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

9.5K
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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Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

294
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
294
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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相关实验视频

Updated: Sep 11, 2025

Phase Contrast and Differential Interference Contrast DIC Microscopy
06:49

Phase Contrast and Differential Interference Contrast DIC Microscopy

Published on: August 6, 2008

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基于深度学习的差异干扰对比显微镜的无人工物阶段重建.

Chengxin Zhou, Yuheng Wang, Yue Liu

    Optics express
    |August 13, 2025
    PubMed
    概括

    这项研究引入了一种新的数据驱动方法,使用Pix2Pix GAN用于在差异干扰对比 (DIC) 显微镜中进行无工件定量相位成像. 该技术能够从DIC图像进行快速,高精度的相位重建,改善细胞和组织分析.

    科学领域:

    • 生物光子学 生物光子学
    • 显微镜的使用方法
    • 图像处理 图像处理

    背景情况:

    • 不同干扰对比 (DIC) 显微镜是细胞和组织的有价值的无标签成像技术.
    • 从DIC图像进行准确的定量阶段重建是具有挑战性的,因为非线性和文物.
    • 现有的数值集成方法存在未知的常数和噪声敏感性.

    研究的目的:

    • 开发一种数据驱动的方法,用于在DIC显微镜中进行无文物,高精度和快速的定量相重建.
    • 为了克服DIC成像中传统相位重建方法的局限性.
    • 为了使精确的定量相位成像只使用单个差分相位图像.

    主要方法:

    • 使用数字全息和DIC成像模型构建了"样本相差相"的培训数据库.
    • 采用了Pix2Pix生成对抗网络 (GAN) 模型,具有优化的损失函数和梯度反向传播.
    • 训练深度神经网络,学习样本阶段和差异阶段之间的映射.

    主要成果:

    • 从单向DIC图像中实现了样本阶段的高精度,无文物重建.
    • 在聚烯球体和HeLa细胞的定量相位成像中表现出有效性.
    • 展示了出色的抗噪声性能和快速重建能力.

    更多相关视频

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

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    Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
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    Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

    Published on: April 7, 2014

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    相关实验视频

    Last Updated: Sep 11, 2025

    Phase Contrast and Differential Interference Contrast DIC Microscopy
    06:49

    Phase Contrast and Differential Interference Contrast DIC Microscopy

    Published on: August 6, 2008

    52.8K
    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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    Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
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    Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

    Published on: April 7, 2014

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    结论:

    • 拟议的数据驱动方法为DIC显微镜中准确的定量相重建提供了一个有希望的解决方案.
    • 这项技术有助于高空间灵敏度检测,增强生物样本的分析.
    • 该Pix2Pix GAN方法提供了一个强大的和高效的替代传统的阶段重建技术.