首页> 外文期刊>Plant physiology >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
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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

机译:一种新的算法,用于以高时空分辨率对可变形运动进行计算图像分析,并应用于根生长。在分生组织中,以及在突然加速后,在伸长区域中,伸长率大致均匀

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摘要

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.
机译:了解形态发生的要求是能够量化细胞规模的扩展。在这里,我们介绍了新的软件(RootflowRT),用于在高空间和时间分辨率下测量生长中的根的扩展概况。该软件使用光流方法的新颖组合来实现可变形运动的图像处理算法。该算法对九幅图像的堆栈进行操作,每幅图像之间具有给定的时间间隔(通常为10 s),并且可以可靠地量化图像中大多数像素的速度。根不需要标记。该软件将计算平行于和垂直于根中线局部切线的运动分量。已经开发了该软件的一种变体,可以报告整个根部生长速率与时间的关系。使用该软件,我们发现根的生长区域可分为两个不同的区域,即运动速度即速度随位置逐渐增加的根尖区域和速度随位置急剧增加的亚尖峰区域。在两个区域中,速度几乎都随位置线性增加,并且区域之间的过渡是突然的。我们观察到这种模式的拟南芥,番茄(Lycopersicon lycopersicum),生菜(Lactuca sativa),香雪球(Aurinia saxatilis)和timothy(Phleum pratense)的根。这些速度曲线表明,相对的伸长率是逐步调节的,在分生组织内较低,但大致均匀,然后在伸长区域内变高,但又大致均匀。 RootflowRT的可执行代码可应要求从相应的作者处获得。

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