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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

5.3K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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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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相关实验视频

Updated: Sep 11, 2025

High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE
13:28

High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE

Published on: May 16, 2017

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SPyRiT 3.0:基于深度学习的单像素成像开源包.

J Abascal, T Baudier, R Phan

    Optics express
    |August 13, 2025
    PubMed
    概括

    在单像素成像中,可复制性至关重要. 开源工具箱SPyRiT可以进行深度学习重建方法的基准测试,为改进的成像技术提供可重现的计算实验.

    科学领域:

    • 计算光学是一种计算光学.
    • 图像重建 图像重建
    • 深度学习应用程序深度学习应用程序

    背景情况:

    • 单像素成像 (SPI) 依赖于重建算法,以从有限的测量中形成图像.
    • 深度学习 (DL) 方法已经推进了SPI重建,但会带来复制性挑战.
    • 需要工具来确保基于DL的SPI中的可重现性和基准分析.

    研究的目的:

    • 介绍SPyRiT,这是SPI的一个开源PyTorch工具箱.
    • 在SPI中促进DL重建算法的可重复性基准测试.
    • 对比SPI的监督和插即用DL方法.

    主要方法:

    • 开发了SPyRiT,这是一个使用PyTorch.ch的多功能,开源工具箱.
    • 实施了各种监督和插即用DL重建方法.
    • 在不同的信号噪声比率 (SNR) 和数据集中评估方法性能.

    主要成果:

    • 在模拟数据上训练的监督DL方法在具有足够SNR的实验数据上表现良好.
    • 插即用方法通过超参数调整为较低的SNR提供灵活性.
    • DC-Net表现出对噪声的稳定性,与没有手动调的插即用方法相美.

    更多相关视频

    Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
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    Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

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    Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States
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    Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States

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    相关实验视频

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    High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE

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    Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
    08:16

    Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

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    Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States
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    Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States

    Published on: January 19, 2024

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    结论:

    • SPyRiT 能够在 SPI 和相关领域 (如幽灵成像) 中对 DL 重建进行严格的基准测试.
    • 该工具箱支持DL在计算光学模式中的进一步研究和应用.
    • SPyRiT促进了基于DL的图像重建的可复制性和进步.