An end-to-end workflow for non-destructive 3D pathology

非破坏性 3D 病理学的端到端工作流程

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作者:Kevin W Bishop, Lindsey A Erion Barner, Qinghua Han, Elena Baraznenok, Lydia Lan, Chetan Poudel, Gan Gao, Robert B Serafin, Sarah S L Chow, Adam K Glaser, Andrew Janowczyk, David Brenes, Hongyi Huang, Dominie Miyasato, Lawrence D True, Soyoung Kang, Joshua C Vaughan, Jonathan T C Liu

Abstract

Recent advances in 3D pathology offer the ability to image orders-of-magnitude more tissue than conventional pathology while providing a volumetric context that is lacking with 2D tissue sections, all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis is non-trivial, requiring careful attention to many details regarding tissue preparation, imaging, and data/image processing in an iterative process. Here we provide an end-to-end protocol 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. While 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol will focus on a fluorescent analog of hematoxylin and eosin (H&E), which remains the most common stain for gold-standard diagnostic determinations. We present our guidelines for a broad range of end-users (e.g., biologists, clinical researchers, and engineers) in a simple tutorial format.

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