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同时分析弯曲黄蜀葵托叶的形状和内部结构:X 射线显微断层扫描和半自动定量分析。

Simultaneous analysis of shape and internal structure of a curved Hibiscus cannabinus pulvinus: X-ray microtomography and semi-automated quantification.

机构信息

Graduate School of Science and Technology, Nara Institute of Science and Technology (NAIST), Ikoma, Nara, Japan.

Center for Digital Green-Innovation, Nara Institute of Science and Technology (NAIST), Ikoma, Nara, Japan.

出版信息

J Plant Res. 2024 Jan;137(1):79-94. doi: 10.1007/s10265-023-01498-w. Epub 2023 Oct 9.

Abstract

In the Malvaceae family, dynamic solar tracking by leaves is actuated by the deformation of the pulvinus, a thickened region at the leaf blade-petiole junction. While the internal structure is believed to play a crucial role in this process, experimental verification has been challenging due to technical limitations. To address this gap, we developed a semi-automated workflow, which integrates data analysis and image processing to simultaneously analyze the shape and internal structure of a Malvaceae pulvinus using X-ray microtomography. Firstly, we found that kenaf (Hibiscus cannabinus L.), a Malvaceae species with curved pulvini, exhibited solar-tracking leaf movement and selected it as a model system. We employed diffusible iodine-based contrast-enhanced computed tomography to visualize the internal structure of the kenaf pulvinus. Analysis of the pulvini's shape revealed variations in pulvinus morphology, yet plausible prediction of the centerline was accomplished using polar polynomial regression. Upon slicing the pulvini perpendicular to the centerline, we observed distinct gray value gradients along the proximo-distal and adaxial-abaxial axes, challenging threshold-based tissue segmentation. This workflow successfully generated three modified 3D images and derived quantitative parameters. Using these quantitative parameters, we conducted network analysis and found the linkage between the size-normalized cortex cross-sectional area and curvature. Polynomial least absolute shrinkage and selection operator (LASSO) regression revealed the relationship between the size-normalized cortex cross-sectional area and curvature commonly in all three tested samples. This workflow enables simultaneous analysis of the shape and internal structure, significantly improving the reproducibility of Malvaceae leaf pulvinus characterization.

摘要

在锦葵科中,叶片的动态太阳跟踪是由叶枕的变形驱动的,叶枕是叶片与叶柄连接处的增厚区域。虽然内部结构被认为在这个过程中起着关键作用,但由于技术限制,实验验证一直具有挑战性。为了解决这个差距,我们开发了一个半自动化的工作流程,该流程集成了数据分析和图像处理,使用 X 射线微断层扫描同时分析锦葵科叶枕的形状和内部结构。首先,我们发现黄麻(Hibiscus cannabinus L.),一种具有弯曲叶枕的锦葵科植物,表现出太阳跟踪的叶片运动,并选择它作为模型系统。我们采用可扩散碘基对比增强计算机断层扫描来可视化黄麻叶枕的内部结构。对叶枕形状的分析揭示了叶枕形态的变化,但使用极多项式回归可以合理地预测叶枕的中心线。在将叶枕垂直于中心线切片时,我们观察到沿近-远轴和背-腹轴存在明显的灰度值梯度,这对基于阈值的组织分割构成了挑战。该工作流程成功生成了三个修改后的 3D 图像,并提取了定量参数。使用这些定量参数,我们进行了网络分析,并发现了大小归一化皮质横截面积与曲率之间的联系。多项式最小绝对收缩和选择算子(LASSO)回归揭示了在所有三个测试样本中,大小归一化皮质横截面积与曲率之间的关系。该工作流程能够同时分析形状和内部结构,显著提高了锦葵科叶片叶枕特征的可重复性。

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