Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium.
Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium.
Trends Plant Sci. 2021 Nov;26(11):1171-1185. doi: 10.1016/j.tplants.2021.07.010. Epub 2021 Aug 14.
X-ray computed tomography (CT) is a valuable tool for 3D imaging of plant tissues and organs. Applications include the study of plant development and organ morphogenesis, as well as modeling of transport processes in plants. Some challenges remain, however, including attaining higher contrast for easier quantification, increasing the resolution for imaging subcellular features, and decreasing image acquisition and processing time for high-throughput phenotyping. In addition, phase contrast, multispectral, dark-field, soft X-ray, and time-resolved imaging are emerging. At the same time, a large amount of 3D image data are becoming available, posing challenges for data management. We review recent advances in the area of X-ray CT for plant imaging, and describe opportunities for using such images for studying transport processes in plants.
X 射线计算机断层扫描（CT）是一种用于植物组织和器官三维成像的有价值的工具。其应用包括研究植物发育和器官形态发生，以及模拟植物中的运输过程。然而，仍然存在一些挑战，包括获得更高的对比度以便更轻松地定量，提高分辨率以成像亚细胞特征，以及减少高通量表型获取和处理时间。此外，相衬、多光谱、暗场、软 X 射线和时间分辨成像正在出现。与此同时，大量的 3D 图像数据变得可用，这对数据管理提出了挑战。我们回顾了植物成像中 X 射线 CT 领域的最新进展，并描述了使用这些图像研究植物中运输过程的机会。
