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

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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418226/
https://www.ncbi.nlm.nih.gov/pubmed/37577615
http://dx.doi.org/10.1101/2023.08.03.551845
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author 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.
author_facet 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.
author_sort Bishop, Kevin W.
collection PubMed
description 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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spelling pubmed-104182262023-08-12 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. bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-08-06 /pmc/articles/PMC10418226/ /pubmed/37577615 http://dx.doi.org/10.1101/2023.08.03.551845 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
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.
An end-to-end workflow for non-destructive 3D pathology
title An end-to-end workflow for non-destructive 3D pathology
title_full An end-to-end workflow for non-destructive 3D pathology
title_fullStr An end-to-end workflow for non-destructive 3D pathology
title_full_unstemmed An end-to-end workflow for non-destructive 3D pathology
title_short An end-to-end workflow for non-destructive 3D pathology
title_sort end-to-end workflow for non-destructive 3d pathology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418226/
https://www.ncbi.nlm.nih.gov/pubmed/37577615
http://dx.doi.org/10.1101/2023.08.03.551845
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