Morphometric staging of organ development based on cross sectional images

Morphometric staging of organ development based on cross sectional images
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DOI:
10.1016/j.jtbi.2017.12.020
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发表时间:
2018-03-07
影响因子:
2
通讯作者:
Morishita, Yoshihiro
Morishita, Yoshihiro
中科院分区:
生物学4区
文献类型:
--
作者:
Kawasumi-Kita, Aiko;Ohtsuka, Daisuke;Morishita, Yoshihiro

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一个客观的,连续的,和强大的方法分期发育胚胎或器官是必不可少的,为研究定量/系统发育生物学时提供一个共同的时间测量。然而,经典的方法的基础上的因素,如体节数量或定性的视觉属性是离散的和/或模糊的,由于观察者的主观性。因此,需要一种基于随时间推移的发育状态的明确和连续描述的替代分期方法,例如解剖学/形态学。在这里,我们简要地提出了一种新的分期方法,作为基于器官横截面图像的经典分期的自然延伸,这比完整的3D结构更容易获得。轮廓表示为2D封闭曲线和量化使用椭圆傅立叶描述符。将经典分期中的模糊性视为统计模型,可以确定新的形态学分期与经典分期之间的关系。该方法通过将其应用于两组不同的数据:鸡前脑和爪蟾后肢发育进行了验证。使用这种方法,也可以重建平均形态的时间演变,这将有助于定量比较胚胎之间或正常和异常条件之间的形态。(C)2017作者爱思唯尔有限公司出版
An objective, continuous, and robust method for staging developing embryos or organs is essential for providing a common measure of time when studying quantitative/systems developmental biology. However, classical methods based on factors such as somite number or qualitative visual attributes are discrete and/or ambiguous due to observers' subjectivity. Thus, an alternative staging method based on an explicit and continuous description of developmental states over time, such as anatomy/morphology, is needed. Here, we briefly propose a novel staging method as a natural extension of classical staging based on cross sectional images of organs, which are more accessible than full 3D structures. The contours are represented as 2D closed curves and quantified using elliptic Fourier descriptors. Treating the ambiguity in classical staging as a statistical model, the relationship between the novel morphometric staging and classical staging can be determined. This method was validated by applying it to two different sets of data: chick forebrain and Xenopus hindlimb development. Using this method, it is also possible to reconstruct the time evolution of the average morphology, which would be useful for quantitatively comparing morphologies between embryos or between normal and abnormal conditions. (C) 2017 The Authors. Published by Elsevier Ltd.