Hecker David, Kappler Joachim, Glassmann Alexander, Schilling Karl, Alt Wolfgang
Abteilung Theoretische Biologie, Institut für Zelluläre und Molekulare Botanik, University of Bonn, Germany.
J Neurosci Methods. 2008 Jul 15;172(1):67-73. doi: 10.1016/j.jneumeth.2008.04.010. Epub 2008 May 27.
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.
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例如由形态发生变化或假象引起的整体组织运动通常很重要。我们开发了一种定义和校正整体运动的方法。这是通过基于固定参考物体的位置将图像序列顺序变形为初始图像来实现的。从技术上讲，该方法在ImageJ中使用插件UnwarpJ来实现。我们描述了一种选择参数设置以优化图像校正的有效方法。为此，我们实施了严格的统计控制，以便对图像配准质量进行量化。我们使用发育中小脑薄片培养物中迁移中间神经元的延时序列记录了这种方法。
