Haffner-Staton E, LA Rocca A, Fay M W
Department of Mechanical Materials and Manufacturing Engineering, The University of Nottingham, University Park, Nottingham, NG7 2RD, U.K.
Nanoscale and Microscale Research Centre, The University of Nottingham, University Park, Nottingham, NG7 2RD, U.K.
J Microsc. 2018 Jun;270(3):272-289. doi: 10.1111/jmi.12680. Epub 2018 Jan 16.
The aim of this work is to make progress towards the development of 3D reconstruction as a legitimate alternative to traditional 2D characterization of soot. Time constraints are the greatest opposition to its implementation, as currently reconstruction of a single soot particle takes around 5-6 h to complete. As such, the accuracy and detail gains are currently insufficient to challenge 2D characterization of a representative sample (e.g. 200 particles). This work is a consideration of the optimization of the steps included within the computational reconstruction and manual segmentation of soot particles. Our optimal process reduced the time required by over 70% in comparison to a typical procedure, whilst producing models with no appreciable decrease in quality.
这项工作的目的是在三维重建的发展方面取得进展，使其成为传统二维碳烟表征的合理替代方法。时间限制是其实施的最大障碍，因为目前重建单个碳烟颗粒大约需要5-6小时才能完成。因此，目前在准确性和细节方面的提升还不足以挑战对代表性样本（例如200个颗粒）的二维表征。这项工作是对碳烟颗粒计算重建和手动分割中所包含步骤的优化进行的考量。与典型程序相比，我们的优化过程将所需时间减少了70%以上，同时生成的模型质量没有明显下降。
