Unit of Regenerative Medicine, Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Sci Data. 2021 Nov 26;8(1):306. doi: 10.1038/s41597-021-01087-3.
In vivo confocal microscopy (IVCM) is a non-invasive imaging technique facilitating real-time acquisition of images from the live cornea and its layers with high resolution (1-2 µm) and high magnification (600 to 800-fold). IVCM is extensively used to examine the cornea at a cellular level, including the subbasal nerve plexus (SBNP). IVCM of the cornea has thus gained intense interest for probing ophthalmic and systemic diseases affecting peripheral nerves. One of the main drawbacks, however, is the small field of view of IVCM, preventing an overview of SBNP architecture and necessitating subjective image sampling of small areas of the SBNP for analysis. Here, we provide a high-quality dataset of the corneal SBNP reconstructed by automated mosaicking, with an average mosaic image size corresponding to 48 individual IVCM fields of view. The mosaic dataset represents a group of 42 individuals with Parkinson's disease (PD) with and without concurrent restless leg syndrome. Additionally, mosaics from a control group (n = 13) without PD are also provided, along with clinical data for all included participants.
体内共聚焦显微镜（IVCM）是一种非侵入性成像技术，可实时获取高分辨率（1-2μm）和高放大倍数（600 至 800 倍）的活体角膜及其各层的图像。IVCM 广泛用于检查角膜的细胞水平，包括基底下神经丛（SBNP）。因此，IVCM 对探测影响周围神经的眼部和系统性疾病产生了浓厚的兴趣。然而，主要缺点之一是 IVCM 的视场较小，无法全面观察 SBNP 结构，并且需要对 SBNP 的小区域进行主观图像采样以进行分析。在这里，我们提供了一个通过自动拼接重建的角膜 SBNP 的高质量数据集，平均拼接图像大小对应于 48 个单独的 IVCM 视场。该拼接数据集代表了一组 42 名患有帕金森病（PD）且伴有或不伴有不安腿综合征的个体。此外，还提供了来自无 PD 的对照组（n=13）的拼接图像，以及所有纳入参与者的临床数据。
