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An end-to-end workflow for non-destructive 3D pathology.
Bishop, Kevin W; Barner, Lindsey A Erion; Han, Qinghua; Baraznenok, Elena; Lan, Lydia; Poudel, Chetan; Gao, Gan; Serafin, Robert B; Chow, Sarah S L; Glaser, Adam K; Janowczyk, Andrew; Brenes, David; Huang, Hongyi; Miyasato, Dominie; True, Lawrence D; Kang, Soyoung; Vaughan, Joshua C; Liu, Jonathan T C.
Afiliação
  • Bishop KW; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Barner LAE; Department of Bioengineering, University of Washington, Seattle, Washington, USA.
  • Han Q; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Baraznenok E; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Lan L; Department of Bioengineering, University of Washington, Seattle, Washington, USA.
  • Poudel C; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Gao G; Department of Bioengineering, University of Washington, Seattle, Washington, USA.
  • Serafin RB; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Chow SSL; Department of Biology, University of Washington, Seattle, Washington, USA.
  • Glaser AK; Department of Chemistry, University of Washington, Seattle, Washington, USA.
  • Janowczyk A; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Brenes D; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Huang H; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • Miyasato D; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
  • True LD; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA.
  • Kang S; Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland.
  • Vaughan JC; Department of Clinical Pathology, Division of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland.
  • Liu JTC; Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
bioRxiv ; 2023 Aug 06.
Article em En | MEDLINE | ID: mdl-37577615
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2023 Tipo de documento: Article