Köhler B, Allgeier S, Bartschat A, Guthoff R F, Bohn S, Reichert K-M, Stachs O, Winter K, Mikut R
Institut für Angewandte Informatik, Karlsruher Institut für Technologie, Kaiserstraße 12, 76131, Karlsruhe, Deutschland.
Universitätsaugenklinik, Universitätsmedizin Rostock, Rostock, Deutschland.
Ophthalmologe. 2017 Jul;114(7):601-607. doi: 10.1007/s00347-017-0464-4.
The sub-basal nerve plexus (SNP) of the cornea provides the possibility of in vivo and non-invasive examination of peripheral nerve structures by corneal confocal microscopy (CCM). Thus morphological alterations of the SNP can be directly detected and quantified. A single CCM image is insufficient for a well-founded diagnosis because of the inhomogeneous distribution of the nerve fibers; therefore, there is a demand for techniques for large area imaging of the SNP. This article provides an overview of published approaches to the problem. Current developmental work at the Karlsruhe Institute of Technology and the University of Rostock Eye Clinic is expected to lead to a simplified handling of the technology and a further improvement in the image quality.
角膜的基底神经丛(SNP)为通过角膜共焦显微镜(CCM)对周围神经结构进行体内无创检查提供了可能。因此,SNP的形态学改变可以直接检测和量化。由于神经纤维分布不均匀,单幅CCM图像不足以进行可靠诊断;因此,需要用于SNP大面积成像的技术。本文概述了已发表的针对该问题的方法。卡尔斯鲁厄理工学院和罗斯托克大学眼科诊所目前的研发工作有望简化该技术的操作并进一步提高图像质量。