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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

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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

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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...
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X-ray Diffraction of Biological Samples01:10

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X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
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相关实验视频

Updated: Jul 16, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

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深度学习辅助的非接触式缺陷识别方法使用衍射相位显微镜.

Subrahmanya Keremane Narayan, Allaparthi Venkata Satya Vithin, Rajshekhar Gannavarpu

    Applied optics
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    概括
    此摘要是机器生成的。

    本研究引入了一种深度学习方法,可靠地检测光学边缘模式中的缺陷,用于非破坏性测试. 该方法使用相梯度来准确地定位干扰计量计量学中的缺陷.

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    Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
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    相关实验视频

    Last Updated: Jul 16, 2025

    Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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    Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
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    科学领域:

    • 光学计量学 在光学计量学
    • 非破坏性测试是指非破坏性测试.
    • 人工智能的人工智能

    背景情况:

    • 光学边缘图案对于非破坏性测试至关重要.
    • 检测这些模式中的缺陷是一个重大挑战.
    • 目前的方法可能缺乏稳定性和精度.

    研究的目的:

    • 开发一种基于深度学习的方法,用于准确识别边缘模式缺陷.
    • 使用相梯度信息来改善缺陷定位.
    • 在各种条件下证明方法的有效性.

    主要方法:

    • 使用深度学习模型计算空间相导数.
    • 缺陷信息归因于边缘图案的相梯度.
    • 由此产生的梯度图被用于缺陷定位.

    主要成果:

    • 该方法在不同噪声级别的数值合成缺陷上证明了稳定性.
    • 使用衍射相位显微镜成功实现了试验性缺陷识别.
    • 深度学习方法有效地局部化了边缘模式中的缺陷.

    结论:

    • 拟议的深度学习方法为边缘模式缺陷检测提供了可靠的解决方案.
    • 通过深度学习进行相梯度分析,可以提高缺陷定位的准确性.
    • 该技术在实验计量学应用中显示出实际实用性.