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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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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: Jan 10, 2026

A Protocol for Real-time 3D Single Particle Tracking
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A Protocol for Real-time 3D Single Particle Tracking

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单光子单粒子追踪系统

Lance W Q Xu1,2, Nathan Ronceray3, Marianna Fanouria Mitsioni3,4

  • 1Center for Biological Physics, Arizona State University, Tempe, AZ, USA.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了单光子单粒子跟踪 (SP2T) 技术,使用1位图像跟踪快速移动的生物粒子. 这种方法绕过了传统的跟踪限制,使得微秒级的运动分析能够准确.

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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
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相关实验视频

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科学领域:

  • 生物物理学的生物物理.
  • 影像科学 影像科学
  • 计算生物学 计算生物学

背景情况:

  • 快速移动的生物颗粒 (生物分子,病毒囊) 超过常规成像速度,导致运动模糊.
  • 由于依赖基于强度的定位,现有的跟踪方法在1位成像中失败.
  • 高速成像需要微秒曝光,挑战传统的跟踪算法.

研究的目的:

  • 引入一个新的框架,单光子单粒子跟踪 (SP2T),用于无偏的粒子跟踪.
  • 从1位图像堆中实现准确的轨迹估计,克服传统方法的局限性.
  • 提供一个强大的解决方案,以微秒时间分辨率分析快速移动的生物粒子.

主要方法:

  • 开发了SP2T,可以直接从1位图像堆中估计粒子数量和轨迹,绕过本地化和链接.
  • 使用单光子雪崩二极管 (SPAD) 阵列,用于在大视野上的微秒级曝光.
  • 在SP2T框架内考虑了探测器特定的工件,如热和冷像素.

主要成果:

  • SP2T成功地跟踪了被编程的光珠轨迹和生物系统 (气溶素,化物).
  • 模拟和实验显示,较长时间暴露的偏差扩散系数估计在快速扩散粒子中高达70%.
  • 与基于CPU的方法相比,SP2T实现了超过50倍的GPU加快速度,证明了计算效率.

结论:

  • SP2T是一个强大的,数据效率高的解决方案,用于在快速扩散系统中进行无偏的粒子跟踪.
  • 该框架能够以毫秒至微秒的时间分辨率准确分析粒子动力学.
  • 光子对光子的跟踪对于公正的扩散系数估计和准确的跳跃距离分布分析至关重要.