Image analysis of time-lapse movies - A precision control guided approach to correct motion artefacts
Image analysis of time-lapse movies - A precision control guided approach to correct motion artefacts
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DOI：
10.1016/j.jneumeth.2008.04.010
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发表时间：
2008-07-15
影响因子：
3
通讯作者：
Alt, Wolfgang
中科院分区：
文献类型：
--
作者：
Hecker, David;Kappler, Joachim;Alt, Wolfgang
在细胞迁移的长期延时研究中，区分单个细胞的主动运动与由形态发生变化或人工制品引起的整体组织运动通常是很重要的。我们已经开发了一种方法来定义和纠正全球运动。这是通过基于固定参考对象的位置将图像序列依次变形到初始图像来实现的。从技术上讲，该方法是在ImageJ中实现的，使用插件UnwarpJ。我们描述了一种有效的方法来选择参数设置，如优化图像校正。为此，我们实施了严格的统计控制，可以量化图像配准质量。我们在发育中的小脑切片培养中使用迁移中间神经元的延时序列来记录这种方法。(C) 2008 Elsevier B.V.版权所有
In long-term time-lapse studies of cell migration, it is often important to distinguish active movement of individual cells from global tissue motion caused, for instance, by morphogenetic changes, or due to artefacts. We have developed a method to define and correct global movements. This is realized by the sequential morphing of image sequences to the initial image based on the position of immobile reference objects. Technically, the approach is implemented in ImageJ, using the plugin UnwarpJ. We describe an efficient way to select parameter settings such as to optimize image correction. To this end, we implemented a strict statistical control that allows to quantify image registration quality. We document this approach using a time-lapse sequence of migrating interneurons in slice cultures of the developing cerebellum. (C) 2008 Elsevier B.V. All rights reserved.