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X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

4.0K
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...
4.0K
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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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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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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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Video Experimental Relacionado

Updated: Sep 9, 2025

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
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Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene

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Imágenes de difracción coherente de un solo disparo con tensor de estructura compleja ponderado

Zhengyu Wu, Guancheng Huang, Sida Gao

    Optics letters
    |August 29, 2025
    PubMed
    Resumen
    Este resumen es generado por máquina.

    Este estudio introduce un nuevo método no supervisado para la recuperación de fase de un solo disparo, mejorando la reconstrucción de detalles de la imagen. El algoritmo mejora la precisión para objetos complejos, incluso con mediciones y ruido limitados.

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    Área de la Ciencia:

    • Imágenes coherentes
    • Imágenes computacionales
    • Reconstrucción de imágenes

    Sus antecedentes:

    • La recuperación de fase es esencial para reconstruir la amplitud y la fase en imágenes coherentes.
    • La recuperación de fase de disparo único se enfrenta a desafíos debido a las mediciones limitadas, lo que dificulta la resolución de detalles finos.

    Objetivo del estudio:

    • Desarrollar un algoritmo de recuperación de fase de disparo único sin supervisión y resistente al ruido.
    • Mejorar la reconstrucción de detalles finos y textura en objetos de valor complejo.

    Principales métodos:

    • Integración de la optimización de la dirección alterna.
    • Aplicación de la regularización de la variación total del tensor de estructura compleja ponderada.
    • Equilibrar el ajuste de datos con la preservación de la textura.

    Principales resultados:

    • El algoritmo propuesto demuestra la robustez del ruido.
    • Reconstrucción exitosa de amplitud compleja para objetos ricos en textura.
    • Mayor fidelidad y resolución de detalles finos en simulaciones y experimentos.

    Conclusiones:

    • El método desarrollado aborda efectivamente las limitaciones en la recuperación de fase de un solo disparo.
    • Ofrece una solución robusta para reconstruir objetos de valor complejo con alta fidelidad.
    • El enfoque muestra un potencial significativo para aplicaciones avanzadas de imágenes.