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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.8K
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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相关实验视频

Updated: Jul 14, 2025

Lensless Fluorescent Microscopy on a Chip
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Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

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实时,深度学习辅助的无透镜显微镜.

Jimin Wu1, Vivek Boominathan2, Ashok Veeraraghavan2,3

  • 1Department of Bioengineering, Rice University, Houston, Texas 77005, USA.

Biomedical optics express
|October 6, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种具有实时图像重建的新型无透镜显微镜. 使用神经网络,它实现了快速可视化,克服了生物成像传统光显微镜的局限性.

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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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Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

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相关实验视频

Last Updated: Jul 14, 2025

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Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
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Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

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科学领域:

  • 生物光子学 生物光子学
  • 显微镜的使用方法
  • 计算成像技术的成像

背景情况:

  • 传统的微型光显微镜在空间分辨率和视野 (FOV) 之间面临着权衡.
  • 无透镜显微镜提供了一个解决方案,但被缓慢的图像重建所阻碍,防止实时可视化.
  • 在无镜头系统中近距离成像需要复杂的移动变化解卷.

研究的目的:

  • 开发一种无透镜显微镜,能够实时重建图像.
  • 在无透镜显微镜中克服代重建算法的速度限制.
  • 通过快速可视化,提高无透镜显微镜的可用性.

主要方法:

  • 实现了一个基于神经网络的图像重建方法.
  • 消除了对代重建算法的需求.
  • 开发了一种无透镜显微镜系统,用于生物样本成像.

主要成果:

  • 与代方法相比,重建速度提高了1万倍以上.
  • 启用实时可视化速度超过每秒25 (fps).
  • 在10mm2的FOV上获得了比7μm更好的空间分辨率.

结论:

  • 神经网络方法显著加速了无透镜显微镜图像重建.
  • 实时可视化增强了用户交互,使得无透镜显微镜更容易使用.
  • 这一进步弥合了无透镜和传统显微镜可用性之间的差距.