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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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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. |
format | Online Article Text |
id | pubmed-10418226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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