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相关概念视频

X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

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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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X-ray Crystallography02:18

X-ray Crystallography

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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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X-ray Imaging01:24

X-ray Imaging

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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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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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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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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使用卷积神经网络 (denoising) 来减少X射线连贯衍射成像中的模两可.

Kang Ching Chu1, Chia Hui Yeh2, Jhih Min Lin1

  • 1National Synchrotron Radiation Research Center, Hsinchu 300, Taiwan.

Journal of synchrotron radiation
|August 5, 2024
PubMed
概括

本研究介绍了一种与神经网络的Noise2Noise方法,以解决连贯衍射成像 (CDI) 中的图像模两可. 该方法有效地减少了不一致性,从衍射数据中产生可靠和一致的重建.

关键词:
噪音对噪音 噪音对噪音一致的衍射成像成像.机器学习是机器学习.混合规模的密集网络.

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科学领域:

  • 连贯衍射成像 (CDI) 是一种
  • 计算成像技术的成像
  • 图像重建 图像的重建

背景情况:

  • 连贯衍射成像 (CDI) 由于固有的数据限制,往往会产生模两可的重建.
  • 不一致的图像结果源于常规CDI算法的不同初始条件.
  • 开发可靠的图像重建方法对于推进CDI应用至关重要.

研究的目的:

  • 引入一种新的方法来缓解连贯衍射成像 (CDI) 中的图像模糊性.
  • 为了提高从单一衍射模式获得的重建图像的一致性和可靠性.
  • 利用深度学习技术,在CDI中改进图像重建.

主要方法:

  • 实施Noise2Noise方法与神经网络相结合.
  • 将该方法应用于来自CDI的数百张模两可的重建图像.
  • 使用单值分解 (SVD) 分析进行比较和验证.

主要成果:

  • 显著减少模两可的特征,将它们视为相互重建噪声.
  • 后噪声2噪声处理图像接近多重重建的平均值.
  • 在应用新方法后,在图像重建中展示了一致性和可靠性.

结论:

  • 噪声对噪声的方法有效地解决了CDI中的图像模两可.
  • 神经网络集成为一致的图像重建提供了强大的解决方案.
  • 这种方法在连贯衍射成像中提供了一条通往更可靠和可解释的结果的途径.