The acquisition of quantitative information on plant development across a range of temporal and spatial scales is essential to understand the mechanisms of plant growth. Recent years have shown the emergence of imaging methodologies that enable the capture and analysis of plant growth, from the dynamics of molecules within cells to the measurement of morphometric and physiological traits in field-grown plants. In some instances, these imaging methods can be parallelized across multiple samples to increase throughput. When high throughput is combined with high temporal and spatial resolution, the resulting image-derived data sets could be combined with molecular large-scale data sets to enable unprecedented systems-level computational modeling. Such image-driven functional genomics studies may be expected to appear at an accelerating rate in the near future given the early success of the foundational efforts reviewed here. We present new imaging modalities and review how they have enabled a better understanding of plant growth from the microscopic to the macroscopic scale. Expected final online publication date for the Annual Review of Plant Biology, Volume 71 is April 29, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

中文翻译：

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揭示植物生物学的新型成像方式：从小做起，做大

在一系列时间和空间尺度上获取有关植物发育的定量信息对于了解植物生长机制至关重要。近年来，出现了能够捕获和分析植物生长的成像方法，从细胞内分子的动力学到田间种植植物的形态测量和生理特征的测量。在某些情况下，这些成像方法可以跨多个样本并行化以增加吞吐量。当高吞吐量与高时间和空间分辨率相结合时，由此产生的图像衍生数据集可以与分子大规模数据集相结合，以实现前所未有的系统级计算建模。鉴于此处审查的基础工作的早期成功，这种图像驱动的功能基因组学研究有望在不久的将来以更快的速度出现。我们介绍了新的成像方式，并回顾了它们如何从微观到宏观尺度更好地了解植物生长。《植物生物学年度评论》第 71 卷的预计最终在线出版日期为 2020 年 4 月 29 日。请参阅 http://www.annualreviews.org/page/journal/pubdates 了解修订后的估计值。