A digital image-based method for computational tissue fate mapping during early avian morphogenesis.

A digital image-based method for computational tissue fate mapping during early avian morphogenesis.
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一种基于数字图像的方法,用于计算早期鸟类形态发生过程中的组织命运图谱。

DOI:
10.1007/s10439-005-3037-7
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发表时间:
2005
影响因子:
3.8
通讯作者:
Little,CharlesD
Little,CharlesD
中科院分区:
工程技术2区
文献类型:
--
作者:
Zamir,EvanA;Czirók,András;Rongish,BrendaJ;Little,CharlesD

文献摘要

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脊椎动物发育的早期阶段,包括原肠胚形成,分割,尾轴形成,大概涉及大(有限)形态发生变形,然而,有几个定量的生物力学数据可用于描述这种大规模或组织水平的变形在胚胎中。在这项研究中,我们提出了一种新的方法,自动计算的“组织命运映射”,通过结合最近开发的高分辨率延时数字显微镜系统的全禽胚胎成像与粒子图像测速(PIV),一个完善的数字图像相关技术测量连续变形。与经典的细胞命运映射或其他细胞跟踪方法相反,组织命运映射用于跟踪胚胎各层中任意(虚拟)组织材料点的时空轨迹,然后可用于计算有限的形态发生变形或应变图。为了说明这种方法,我们提出了代表性的组织命运和应变映射数据正常早期鹌鹑胚胎。据我们所知,这些数据首次证明了胚胎中不同胚层之间共享的大的组织水平变形,这表明了一种比以前更全面的形态发生模式机制。
The early stages of vertebrate development, encompassing gastrulation, segmentation, and caudal axis formation, presumably involve large (finite) morphogenetic deformations; however, there are few quantitative biomechanical data available for describing such large-scale or tissue-level deformations in the embryo. In this study, we present a new method for automated computational “tissue fate mapping,” by combining a recently developed high-resolution time-lapse digital microscopy system for whole-avian embryo imaging with particle image velocimetry (PIV), a well-established digital image correlation technique for measuring continuum deformations. Tissue fate mapping, as opposed to classical cell fate mapping or other cell tracking methods, is used to track the spatiotemporal trajectories of arbitrary (virtual) tissue material points in various layers of the embryo, which can then be used to calculate finite morphogenetic deformation or strain maps. To illustrate the method, we present representative tissue fate and strain mapping data for normal early-stage quail embryos. These data demonstrate, to our knowledge, for the first time, large tissue-level deformations that are shared between different germ layers in the embryo, suggesting a more global morphogenetic patterning mechanism than had been previously appreciated.