Benecke Hannes, Almadani Firas, Heske Johannes, May Tobias, Overmeyer Ludger, Johannsmeier Sonja, Ripken Tammo
Life Sciences Department, Laser Zentrum Hannover e.V, Hannover, Germany.
InSCREENeX GmbH, Braunschweig, Germany.
PLoS One. 2025 Mar 19;20(3):e0318974. doi: 10.1371/journal.pone.0318974. eCollection 2025.
Non-destructive, three-dimensional imaging techniques are of great importance in medicine as well as in technical analysis. In this context, it is of particular importance to generate reliable and repeatable results of high quality. This can be aided by automation of manual processes. One of these imaging techniques, the Scanning Laser Optical Tomography, currently requires manual sample alignment by the user to achieve the highest possible image quality. This alignment demands skillful hand-eye coordination as well as experience on the part of the user, and thus often leads to inconsistent imaging results. To overcome this problem, this paper presents a technique for software-based automation of this challenge. The sample is not physically aligned, but digitally detected and tracked during the acquisition. Residual motion artifacts that interfere with tomographic reconstruction are corrected using a second automation algorithm. The combination of the two new algorithms significantly improves the quality of imaging and also increases the reliability and degree of automation of the system, making it accessible to a wide range of users.
无损三维成像技术在医学以及技术分析中都非常重要。在这种背景下，生成高质量的可靠且可重复的结果尤为重要。手动过程的自动化可以对此提供帮助。这些成像技术之一，即扫描激光光学断层扫描，目前需要用户手动对齐样本以获得尽可能高的图像质量。这种对齐需要熟练的手眼协调能力以及用户的经验，因此常常导致成像结果不一致。为了克服这个问题，本文提出了一种基于软件的自动化技术来应对这一挑战。样本不是进行物理对齐，而是在采集过程中进行数字检测和跟踪。使用第二种自动化算法校正干扰断层重建的残余运动伪影。这两种新算法的结合显著提高了成像质量，还提高了系统的可靠性和自动化程度，使广大用户都能够使用该系统。
