Quantification of plant morphology and leaf thickness with optical coherence tomography.
Quantification of plant morphology and leaf thickness with optical coherence tomography.
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DOI：
10.1364/ao.408384
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发表时间：
2020-11-20
期刊：
影响因子：
1.9
通讯作者：
Kalkman, Jeroen
中科院分区：
文献类型：
--
作者：
de Wit, Jos;Tonn, Sebastian;Kalkman, Jeroen
光学相干断层扫描（OCT）可以是一个有价值的成像工具，在体内和无标记的数字植物表型。然而，对于叶片成像，充满空气的空腔限制了穿透深度并降低了图像质量。此外，到目前为止，用OCT对叶形态的量化仅在一维或二维图像中进行，并且通常限于相对测量。在本文中，我们证明了一个显着增加OCT成像深度和图像质量的渗透叶空气空间与水。在所获得的高质量OCT图像中，叶片的顶部和底部表面被数字分割。此外，高质量的正面图像的叶片获得从数值展平的叶片。在三维OCT图像分割是用来量化的空间分辨叶片厚度。基于分割的叶片图像，渗透叶片的折射率测量为1.345±0.004，与纯水的折射率仅相差1.2%。使用的折射率和校正的折射效应在空气-叶片界面，我们定量映射的叶片厚度。结果表明，OCT是一种有效的和有前途的技术，叶片和组织水平上的定量表型。
Optical coherence tomography (OCT) can be a valuable imaging tool for in vivo and label-free digital plant phenotyping. However, for imaging leaves, air-filled cavities limit the penetration depth and reduce the image quality. Moreover, up to now quantification of leaf morphology with OCT has been done in one-dimensional or two-dimensional images only, and has often been limited to relative measurements. In this paper, we demonstrate a significant increase in OCT imaging depth and image quality by infiltrating the leaf air spaces with water. In the obtained high-quality OCT images the top and bottom surface of the leaf are digitally segmented. Moreover, high-quality en face images of the leaf are obtained from numerically flattened leaves. Segmentation in three-dimensional OCT images is used to quantify the spatially resolved leaf thickness. Based on a segmented leaf image, the refractive index of an infiltrated leaf is measured to be 1.345±0.004, deviating only 1.2% from that of pure water. Using the refractive index and a correction for refraction effects at the air-leaf interface, we quantitatively mapped the leaf thickness. The results show that OCT is an efficient and promising technique for quantitative phenotyping on leaf and tissue level.