Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Department of Bioengineering, University of Washington, Seattle, WA, USA.
Nat Protoc. 2024 Apr;19(4):1122-1148. doi: 10.1038/s41596-023-00934-4. Epub 2024 Jan 23.
Recent advances in 3D pathology offer the ability to image orders of magnitude more tissue than conventional pathology methods while also providing a volumetric context that is not achievable with 2D tissue sections, and all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis, however, is not trivial and requires careful attention to a series of details during tissue preparation, imaging and initial data processing, as well as iterative optimization of the entire process. Here, we provide an end-to-end procedure covering all aspects of a 3D pathology workflow (using light-sheet microscopy as an illustrative imaging platform) with sufficient detail to perform well-controlled preclinical and clinical studies. Although 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol focuses on the use of a fluorescent analog of hematoxylin and eosin, which remains the most common stain used for gold-standard pathological reports. We present our guidelines for a broad range of end users (e.g., biologists, clinical researchers and engineers) in a simple format. The end-to-end workflow requires 3-6 d to complete, bearing in mind that data analysis may take longer.
近年来,3D 病理学取得了进展,其能够对数量级更多的组织进行成像,而这是传统病理学方法所无法实现的,同时还提供了 2D 组织切片无法获得的体积背景信息,并且所有这些都无需进行破坏性的组织切片。然而,要持续生成高质量的 3D 病理学数据集并非易事,在组织准备、成像和初始数据处理过程中需要仔细注意一系列细节,并且还需要对整个过程进行迭代优化。在这里,我们提供了一个涵盖 3D 病理学工作流程各个方面的端到端程序(以光片显微镜作为说明性成像平台),其详细程度足以进行精心控制的临床前和临床研究。尽管 3D 病理学与各种染色方案和用于视觉分析的计算生成颜色调色板兼容,但本方案侧重于使用苏木精和伊红的荧光类似物,这仍然是用于金标准病理报告的最常见染色剂。我们以简单的格式为广泛的最终用户(例如生物学家、临床研究人员和工程师)提供了指导原则。端到端工作流程需要 3-6 天才能完成,需要注意的是数据分析可能需要更长的时间。