Acquisition frame rate affects microtubule plus-end tracking analysis.

Acquisition frame rate affects microtubule plus-end tracking analysis.
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采集帧率影响微管加端跟踪分析。

DOI:
10.1038/nmeth.2846
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发表时间:
2014
期刊:
影响因子:
48
通讯作者:
Zhou,Feng-Quan
Zhou,Feng-Quan
中科院分区:
生物学1区
文献类型:
--
作者:
Nicovich,PhilipR;Zhou,Feng-Quan

文献摘要

相似文献

致编辑:最初由Matov等人报道的plusTipTracker软件包1,2可自动识别、跟踪和分析荧光标记的微管+末端生长标志物,定量活细胞延时图像中的数百或数千个微管聚合事件1,2。该算法推断微管加结束的位置在间歇性的不可见的暂停和灾难状态的时空连接脱节的轨道出现沿着相同的微管矢量的可见加结束标签。根据微管末端在不可见阶段的运动速度,将突变状态和非突变状态进行分类,这种推断方法可以为分析增加一个有趣的伪像。如果一个微管在一个单一的帧期间从暂停或突变状态进入生长状态,分析通常会考虑在这段时间内微管处于生长状态(图1a)。这种伪影在荧光标记的正末端的延时图像中很明显
To the Editor: The plusTipTracker software package originally reported by Matov et al. 1, 2 automates the identification, tracking and analysis of fluorescently labeled microtubule plus-end growth markers, quantifying hundreds or thousands of microtubule polymerization events in live-cell time-lapse images1, 2. This algorithm infers microtubule plus-end positions during intermittent nonvisible pause and catastrophe states by spatiotemporally connecting disjointed tracks of visible plus-end labels that occur along the same microtubule vector. Pause and catastrophe states are categorized on the basis of the speed of inferred microtubule ends during the nonvisible period.This inference method can add an interesting artifact to the analysis. If a microtubule crosses from a pause or catastrophe state into a growth state during a single frame, the analysis will often consider the microtubule in a growth state over that time (Fig. 1a). This artifact is apparent in time-lapse images of fluorescently labeled plus-end