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Image processing challenges in the creation of spatiotemporal gene expression atlases of developing embryos

机译:发育中的胚胎的时空基因表达图谱创建中的图像处理挑战

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To properly understand and model animal embryogenesis it is crucial to obtain detailed measurements, both in time and space, about their gene expression domains and cell dynamics. Such challenge has been confronted in recent years by a surge of atlases which integrate a statistically relevant number of different individuals to get robust, complete information about their spatiotemporal locations of gene patterns. This paper will discuss the fundamental image analysis strategies required to build such models and the most common problems found along the way. We also discuss the main challenges and future goals in the field.
机译:为了正确地理解和建模动物胚胎发生,至关重要的是在时间和空间上获得有关其基因表达域和细胞动力学的详细测量。近年来,地图集的涌现正面临着这样的挑战,这些地图集整合了统计学上相关数量的不同个体,以获得有关其基因模式时空位置的可靠,完整的信息。本文将讨论构建此类模型所需的基本图像分析策略以及在此过程中发现的最常见问题。我们还将讨论该领域的主要挑战和未来目标。

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