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相关概念视频

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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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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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基于富里埃图形算法和深度学习的对比增强,单拍LED阵列显微镜.

Shengping Wang1, Zibang Zhang1, Manhong Yao2

  • 1Department of Optoelectronic Engineering, Jinan University, Guangzhou, China.

Journal of microscopy
|August 22, 2023
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概括
此摘要是机器生成的。

我们开发了一种新的单拍LED阵列显微镜技术,使用深度学习来增强图像对比度而不会牺牲分辨率. 这种低成本的方法克服了传统的富里埃图形显微镜对活样本成像的局限性.

关键词:
里埃图形算法 里埃图形算法在LED阵列显微镜中使用LED.增强对比度的增强对比度深度学习是一种深度学习.

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科学领域:

  • 显微镜的使用方法
  • 在光学成像系统中,光学成像
  • 计算机摄影的使用

背景情况:

  • LED阵列显微镜提供小型化和低成本,在某些应用中表现优于传统方法.
  • 在LED显微镜中,高数值光圈照明可以提高分辨率,但可以降低对比度,从而产生分辨率-对比度的权衡.
  • 里埃图形图像学增强了对比度,但需要多张图像,阻碍了活样本成像.

研究的目的:

  • 开发一种对比度增强的,单拍LED阵列显微镜方法.
  • 为了克服传统的富里埃图谱在实时成像中的耗时性质.
  • 在LED阵列显微镜中,提高图像对比度而不牺牲空间分辨率.

主要方法:

  • 使用一次性照明,同时使用阵列中的所有LED.
  • 采用深度学习,专门训练的卷积神经网络,重建图像.
  • 集成的富里埃图形图形原理与深度学习用于对比度增强.

主要成果:

  • 与最初捕获的图像相比,图像对比度取得了显著的改善.
  • 证明了能够产生无色色差的结果的能力,即使在未经校正的目标.
  • 通过使用深度学习,成功地从单一镜头中生成了福里埃图形学所需的多个图像.

结论:

  • 拟议的方法显著提高了单拍LED阵列显微镜中的图像对比度.
  • 这种技术为实体样本成像提供了低成本的方法,克服了以前的局限性.
  • 结合LED阵列显微镜,富里埃图谱和深度学习,提供了一个强大的成像解决方案.