An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos.
An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos.
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DOI：
10.34133/2021/9835961
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Jiang D
中科院分区：
文献类型：
--
作者：
Sun Z;Song Y;Li Q;Cai J;Wang X;Zhou Q;Huang M;Jiang D
斑片状气孔是植物中一种常见的特征性气孔现象。了解和研究斑片气孔的调控机制，对进一步补充和完善气孔理论具有重要意义。目前常用的气孔行为观测方法都是基于静态图像，难以反映气孔的动态变化。便携式显微镜和计算机视觉算法的快速发展，为气孔运动的观测带来了新的契机。利用目标跟踪和语义分割方法，建立了小麦叶片气孔行为观测系统（SBOS），实现了对小麦叶片气孔行为的实时观测和自动分析。SBOS包括两个模块：实时观测模块和自动分析模块。实时观察模块可以拍摄气孔动态变化的视频。在自动分析模块中，目标跟踪精确定位每一个气孔，以获得气孔图像的时间序列排列;语义分割可以精确量化气孔开口面积（SOA），在测试集中的平均像素精度（MPA）为0.8305，平均交集（MIoU）为0.5590。此外，我们设计了一个图形用户界面（GUI），使研究人员可以顺利使用这个自动分析模块。为了验证SBOS的性能，对低温下气孔的动态变化进行了观察和分析。最后，分析了干旱胁迫下气体交换与SOA的相关性，平均SOA与净光合速率（Pn）、胞间CO2浓度（Ci）、气孔导度（Gs）和蒸腾速率（Tr）的相关系数分别为0.93、0.96、0.96和0.97。
Patchy stomata are a common and characteristic phenomenon in plants. Understanding and studying the regulation mechanism of patchy stomata are of great significance to further supplement and improve the stomatal theory. Currently, the common methods for stomatal behavior observation are based on static images, which makes it difficult to reflect dynamic changes of stomata. With the rapid development of portable microscopes and computer vision algorithms, it brings new chances for stomatal movement observation. In this study, a stomatal behavior observation system (SBOS) was proposed for real-time observation and automatic analysis of each single stoma in wheat leaf using object tracking and semantic segmentation methods. The SBOS includes two modules: the real-time observation module and the automatic analysis module. The real-time observation module can shoot videos of stomatal dynamic changes. In the automatic analysis module, object tracking locates every single stoma accurately to obtain stomatal pictures arranged in time-series; semantic segmentation can precisely quantify the stomatal opening area (SOA), with a mean pixel accuracy (MPA) of 0.8305 and a mean intersection over union (MIoU) of 0.5590 in the testing set. Moreover, we designed a graphical user interface (GUI) so that researchers could use this automatic analysis module smoothly. To verify the performance of the SBOS, the dynamic changes of stomata were observed and analyzed under chilling. Finally, we analyzed the correlation between gas exchange and SOA under drought stress, and the correlation coefficients between mean SOA and net photosynthetic rate (Pn), intercellular CO2 concentration (Ci), stomatal conductance (Gs), and transpiration rate (Tr) are 0.93, 0.96, 0.96, and 0.97.
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