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相关概念视频

Super-resolution Fluorescence Microscopy01:37

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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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Fluorometers and spectrofluorometers are two types of instruments used for measuring molecular fluorescence. These instruments differ in how they select excitation and emission wavelengths and the type of light sources they utilize. Fluorometers use absorption interference filters to choose excitation and emission wavelengths. The excitation source in a fluorometer is typically a low-pressure mercury vapor lamp that emits intense lines distributed throughout the ultraviolet and visible regions.
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相关实验视频

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神经网络告知光子过减少光相关性光谱学文物.

Alva Seltmann1, Pablo Carravilla2, Katharina Reglinski3

  • 1Institute for Applied Optics and Biophysics, Friedrich Schiller University Jena, Jena, Germany; Leibniz Institute of Photonic Technology, Jena, Germany.

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概括

本研究引入了一种使用U-Net模型的自动化管道,用于识别和删除光相关谱 (FCS) 数据中的峰值工件. 这种方法恢复了以前丢弃的测量的可分析性,改善了分子动力学研究.

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科学领域:

  • 生物物理学的生物物理.
  • 显微镜技术 显微镜技术
  • 数据分析 数据分析

背景情况:

  • 光相关谱 (FCS) 对于研究分子动力学至关重要.
  • 像来自明亮,缓慢移动的星团的峰值文物这样的文物往往使FCS测量无法分析.
  • 现有的方法与严重的工件作斗争,导致数据丢失.

研究的目的:

  • 开发一种自动化方法来识别和纠正FCS时间序列中的峰值文物.
  • 为了恢复由工件损害的FCS测量的可分析性.
  • 为改善FCS数据分析提供一个多功能工具.

主要方法:

  • 训练了一个单维的U-Net模型,自动检测光时间序列中的峰值文物.
  • 采用时间序列编辑来分析纯化的,非事实性的波动.
  • 通过模拟和两个独立的生物实验验验证了方法.

主要成果:

  • 在模拟的FCS数据中成功识别和纠正峰值工件.
  • 在有文物的情况下恢复了准确的传输时间和粒子数分布.
  • 在实际的生物实验中证明了该方法的有效性.

结论:

  • 开发的自动化管道有效地处理FCS数据中的峰值工件.
  • 这种方法使以前无法分析的数据可用,增强了分子动力学研究.
  • 该方法可适应其他FCS文物,扩大其对研究人员的实用性.