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图像相关光谱学的进展:测量细胞中荧光标记大分子的数密度、聚集状态和动力学

Advances in image correlation spectroscopy: measuring number densities, aggregation states, and dynamics of fluorescently labeled macromolecules in cells.

作者信息

Kolin David L, Wiseman Paul W

机构信息

Department of Chemistry, McGill University, Montreal, QC, Canada H3A 2K6.

出版信息

Cell Biochem Biophys. 2007;49(3):141-64. doi: 10.1007/s12013-007-9000-5. Epub 2007 Oct 2.

Abstract

A brief historical outline of fluorescence fluctuation correlation techniques is presented, followed by an in-depth review of the theory and development of image correlation techniques, including: image correlation spectroscopy (ICS), temporal ICS (TICS), image cross-correlation spectroscopy (ICCS), spatiotemporal ICS (STICS), k-space ICS (kICS), raster ICS (RICS), and particle ICS (PICS). These techniques can be applied to analyze image series acquired on commercially available laser scanning or total internal reflection fluorescence microscopes, and are used to determine the number density, aggregation state, diffusion coefficient, velocity, and interaction fraction of fluorescently labeled molecules or particles. A comprehensive review of the application of ICS techniques to a number of systems, including cell adhesion, membrane receptor aggregation and dynamics, virus particle fusion, and fluorophore photophysics, is presented.

摘要

本文简要介绍了荧光涨落相关技术的历史概况,随后深入回顾了图像相关技术的理论与发展,包括:图像相关光谱法(ICS)、时间分辨图像相关光谱法(TICS)、图像互相关光谱法(ICCS)、时空分辨图像相关光谱法(STICS)、k空间图像相关光谱法(kICS)、光栅图像相关光谱法(RICS)和粒子图像相关光谱法(PICS)。这些技术可用于分析在商用激光扫描或全内反射荧光显微镜上获取的图像序列,并用于确定荧光标记分子或粒子的数密度、聚集状态、扩散系数、速度和相互作用分数。本文还全面综述了ICS技术在包括细胞黏附、膜受体聚集与动力学、病毒颗粒融合以及荧光团光物理等多个系统中的应用。

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