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相关概念视频

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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相关实验视频

Updated: Jul 8, 2025

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
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Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

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实时开放源码FLIM分析实时

Kevin K D Tan1,2, Mark A Tsuchida2, Jenu V Chacko2

  • 1Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States.

Frontiers in bioinformatics
|December 15, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了第一个开源的实时分析工具,用于光终身成像显微镜 (FLIM) 数据. 这种工具可以在成像过程中进行即时质量评估,减少会议时间和样品损坏.

关键词:
飞行员飞行员的飞行员光的寿命 光的寿命在现场播放FLIM.纳帕里 (Napari) 是一个日式餐饮.这是开源的,开源的.阶段器或阶段器实时 FLIM 分析

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Author Spotlight: Standardizing Spheroid Formation Methods for Metabolic and Oxygenation Analysis Using Fluorescence Lifetime Imaging Microscopy
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FLIM-FRET Measurements of Protein-Protein Interactions in Live Bacteria.
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FLIM-FRET Measurements of Protein-Protein Interactions in Live Bacteria.

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相关实验视频

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FLIM-FRET Measurements of Protein-Protein Interactions in Live Bacteria.
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科学领域:

  • 显微镜的使用方法
  • 生物光子学 生物光子学
  • 数据分析 数据分析

背景情况:

  • 光终身成像显微镜 (FLIM) 提供了对光微环境的定量见解.
  • 传统的FLIM分析,特别是与时间相关的单光子计数 (TCSPC) 的分析,是耗时的,并且在采集后进行.
  • 这种延迟导致数据质量的不确定性,延长成像时间,以及潜在的光漂白或光损伤.

研究的目的:

  • 引入第一个开源程序,用于实时在样本扫描期间进行FLIM数据分析.
  • 为了能够在飞行中评估FLIM数据质量,提高效率并减少敏感样本的风险.
  • 将实时计算和可视化功能与现有的采集软件集成.

主要方法:

  • 开发了一个开源的实时FLIM查看器作为Napari插件.
  • 从采集软件 (例如,OpenScan) 集成的实时数据传输.
  • 实现了相位分析和快速寿命确定 (RLD),以获得即时的结果.

主要成果:

  • 该工具在获取过程中提供实时FLIM数据质量评估.
  • 有助于早期识别FLIM签名和潜在问题.
  • 显著加快成像过程,特别是在活生物样本.

结论:

  • 这种实时分析方法提高了FLIM实验的效率和可靠性.
  • 它最大限度地减少了扩展成像会话的需要,保持了样本的完整性.
  • 开源性质促进了可访问性和定量FLIM的进一步发展.