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An end-to-end workflow for nondestructive 3D pathology

  • 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

摘要

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.