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Tutorial: methods for three-dimensional visualization of archival tissue material

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NATURE PROTOCOLS
卷 16, 期 11, 页码 4945-4962

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NATURE PORTFOLIO
DOI: 10.1038/s41596-021-00611-4

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资金

  1. Dutch Cancer Society [10602/2016-2]
  2. European Research Council [617430-DEEPINSIGHT]
  3. Cancer Genomics Center (CGC.nl)
  4. [NIH-U54 CA210184-01]

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The authors discuss three-dimensional imaging pipelines for analyzing archival patient specimens, emphasizing the importance of utilizing these techniques. Advancements in new technologies have improved our ability to visualize tissues with subcellular resolution. Additionally, archival tissues are an overlooked resource that can provide valuable information with the appropriate methods.
The authors describe three-dimensional imaging pipelines available to analyze archival patient specimens. The pipelines facilitate the visualization of both large and small volumes of tissue with subcellular resolution. Analysis of three-dimensional patient specimens is gaining increasing relevance for understanding the principles of tissue structure as well as the biology and mechanisms underlying disease. New technologies are improving our ability to visualize large volume of tissues with subcellular resolution. One resource often overlooked is archival tissue maintained for decades in hospitals and research archives around the world. Accessing the wealth of information stored within these samples requires the use of appropriate methods. This tutorial introduces the range of sample preparation and microscopy approaches available for three-dimensional visualization of archival tissue. We summarize key aspects of the relevant techniques and common issues encountered when using archival tissue, including registration and antibody penetration. We also discuss analysis pipelines required to process, visualize and analyze the data and criteria to guide decision-making. The methods outlined in this tutorial provide an important and sustainable avenue for validating three-dimensional tissue organization and mechanisms of disease.

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