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一种用于高空间和时间分辨率下可变形运动计算图像分析的新算法,应用于根系生长。分生组织中大致均匀的伸长,以及在突然加速后伸长区的伸长。

A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth. Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone.

作者信息

van der Weele Corine M, Jiang Hai S, Palaniappan Krishnan K, Ivanov Viktor B, Palaniappan Kannapan, Baskin Tobias I

机构信息

Division of Biological Sciences, University of Missouri, Columbia, Missouri, 65211, USA.

出版信息

Plant Physiol. 2003 Jul;132(3):1138-48. doi: 10.1104/pp.103.021345.

Abstract

A requirement for understanding morphogenesis is being able to quantify expansion at the cellular scale. Here, we present new software (RootflowRT) for measuring the expansion profile of a growing root at high spatial and temporal resolution. The software implements an image processing algorithm using a novel combination of optical flow methods for deformable motion. The algorithm operates on a stack of nine images with a given time interval between each (usually 10 s) and quantifies velocity confidently at most pixels of the image. The root does not need to be marked. The software calculates components of motion parallel and perpendicular to the local tangent of the root's midline. A variation of the software has been developed that reports the overall root growth rate versus time. Using this software, we find that the growth zone of the root can be divided into two distinct regions, an apical region where the rate of motion, i.e. velocity, rises gradually with position and a subapical region where velocity rises steeply with position. In both zones, velocity increases almost linearly with position, and the transition between zones is abrupt. We observed this pattern for roots of Arabidopsis, tomato (Lycopersicon lycopersicum), lettuce (Lactuca sativa), alyssum (Aurinia saxatilis), and timothy (Phleum pratense). These velocity profiles imply that relative elongation rate is regulated in a step-wise fashion, being low but roughly uniform within the meristem and then becoming high, but again roughly uniform, within the zone of elongation. The executable code for RootflowRT is available from the corresponding author on request.

摘要

理解形态发生的一个必要条件是能够在细胞尺度上对扩张进行量化。在此,我们展示了一种新软件(RootflowRT),用于以高空间和时间分辨率测量生长中根的扩张轮廓。该软件采用了一种图像处理算法,它结合了用于可变形运动的光流方法的新颖组合。该算法对一组九张图像进行操作,每张图像之间有给定的时间间隔(通常为10秒),并能在图像的大多数像素上可靠地量化速度。根无需进行标记。该软件计算平行和垂直于根中线局部切线的运动分量。已开发出该软件的一个变体,可报告根的总体生长速率随时间的变化情况。使用此软件,我们发现根的生长区可分为两个不同区域,一个是顶端区域,运动速率即速度随位置逐渐上升;另一个是亚顶端区域,速度随位置急剧上升。在这两个区域中,速度几乎都随位置呈线性增加,且区域之间的过渡是突然的。我们在拟南芥、番茄(Lycopersicon lycopersicum)、生菜(Lactuca sativa)、香雪球(Aurinia saxatilis)和梯牧草(Phleum pratense)的根中观察到了这种模式。这些速度分布图表明相对伸长率是以逐步方式调节的,在分生组织内较低但大致均匀,然后在伸长区内变得较高但再次大致均匀。RootflowRT的可执行代码可应通讯作者的要求提供。

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