An end-to-end workflow for nondestructive 3D pathology-Reference-Cited by-同舟云学术

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

Published:2024-01-23 Issue:4 Volume:19 Page:1122-1148
ISSN:1754-2189
Container-title:Nature Protocols
language:en
Short-container-title:Nat Protoc

Author:

Bishop Kevin W.^ORCID,Erion Barner Lindsey A.,Han Qinghua,Baraznenok Elena,Lan Lydia,Poudel Chetan,Gao Gan,Serafin Robert B.,Chow Sarah S. L.^ORCID,Glaser Adam K.,Janowczyk Andrew,Brenes David^ORCID,Huang Hongyi,Miyasato Dominie,True Lawrence D.,Kang Soyoung^ORCID,Vaughan Joshua C.^ORCID,Liu Jonathan T. C.^ORCID

Funder

U.S. Department of Health & Human Services | National Institutes of Health

National Science Foundation

U.S. Department of Defense

Prostate Cancer UK

Washington Research Foundation

Chetan Poudel is a Washington Research Foundation Postdoctoral Fellow.

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41596-023-00934-4.pdf

Reference96 articles.

1. Liu, J. T. C. et al. Harnessing non-destructive 3D pathology. Nat. Biomed. Eng. 5, 203–218 (2021).

2. Liu, J. T. C., Glaser, A. K., Poudel, C. & Vaughan, J. C. Nondestructive 3D pathology with light-sheet fluorescence microscopy for translational research and clinical assays. Annu. Rev. Anal. Chem. 16, 231–252 (2023).

3. Xie, W. et al. Prostate cancer risk stratification via nondestructive 3D pathology with deep learning–assisted gland analysis. Cancer Res. 82, 334–345 (2022).

4. Serafin, R. et al. Nondestructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment. J. Pathol. 260, 390–401 (2023).

5. Erion Barner, L. A. et al. AI-triaged 3D pathology to improve detection of esophageal neoplasia while reducing pathologist workloads. Mod. Pathol. 36, 100322 (2023).

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