Reissig Lukas F, Geyer Stefan H, Rose Julia, Prin Fabrice, Wilson Robert, Szumska Dorota, Galli Antonella, Tudor Catherine, White Jacqueline K, Mohun Tim J, Weninger Wolfgang J
Division of Anatomy, Center for Anatomy and Cell Biology, Medical University of Vienna, 1090 Vienna, Austria.
Crick Advanced Light Microscopy Facility, The Francis Crick Institute, London NW1 1AT, UK.
Biomedicines. 2021 Nov 18;9(11):1711. doi: 10.3390/biomedicines9111711.
High resolution episcopic microscopy (HREM) produces digital volume data by physically sectioning histologically processed specimens, while capturing images of the subsequently exposed block faces. Our study aims to systematically define the spectrum of typical artefacts inherent to HREM data and to research their effect on the interpretation of the phenotype of wildtype and mutant mouse embryos. A total of 607 (198 wildtypes, 409 mutants) HREM data sets of mouse embryos harvested at embryonic day (E) 14.5 were systematically and comprehensively examined. The specimens had been processed according to essentially identical protocols. Each data set comprised 2000 to 4000 single digital images. Voxel dimensions were 3 × 3 × 3 µm. Using 3D volume models and virtual resections, we identified a number of characteristic artefacts and grouped them according to their most likely causality. Furthermore, we highlight those that affect the interpretation of embryo data and provide examples for artefacts mimicking tissue defects and structural pathologies. Our results aid in optimizing specimen preparation and data generation, are vital for the correct interpretation of HREM data and allow distinguishing tissue defects and pathologies from harmless artificial alterations. In particular, they enable correct diagnosis of pathologies in mouse embryos serving as models for deciphering the mechanisms of developmental disorders.
高分辨率光学显微镜断层成像(HREM)通过对组织学处理后的标本进行物理切片,同时捕获随后暴露的块面图像来生成数字体积数据。我们的研究旨在系统地定义HREM数据中固有的典型伪像谱,并研究它们对野生型和突变型小鼠胚胎表型解释的影响。我们系统且全面地检查了总共607个(198个野生型,409个突变型)在胚胎第14.5天收获的小鼠胚胎的HREM数据集。这些标本均按照基本相同的方案进行处理。每个数据集包含2000至4000张单幅数字图像。体素尺寸为3×3×3微米。我们使用三维体积模型和虚拟切除术,识别出了一些特征性伪像,并根据其最可能的因果关系对它们进行了分类。此外,我们突出了那些影响胚胎数据解释的伪像,并提供了模拟组织缺陷和结构病理的伪像示例。我们的结果有助于优化标本制备和数据生成,对于正确解释HREM数据至关重要,并能区分组织缺陷和病理与无害的人为改变。特别是,它们能够正确诊断作为解密发育障碍机制模型的小鼠胚胎中的病理情况。