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Multiscale 3-dimensional pathology findings of COVID-19 diseased lung using high-resolution cleared tissue microscopy

Guang Li, Sharon E. Fox, Brian Summa, Carola Wenk, Aibek Akmatbekov, Jack L. Harbert, Richard S. Vander Heide, View ORCID ProfileJ. Quincy Brown
doi: https://doi.org/10.1101/2020.04.11.037473
Guang Li
1Department of Biomedical Engineering, Tulane University
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Sharon E. Fox
2Department of Pathology, LSU Health Sciences Center
3Pathology and Laboratory Medicine Service, Southeast Louisiana Veterans Healthcare System
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  • For correspondence: jqbrown@tulane.edu sfox3@lsuhsc.edu
Brian Summa
4Department of Computer Science, Tulane University
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Carola Wenk
4Department of Computer Science, Tulane University
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Aibek Akmatbekov
2Department of Pathology, LSU Health Sciences Center
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Jack L. Harbert
2Department of Pathology, LSU Health Sciences Center
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Richard S. Vander Heide
2Department of Pathology, LSU Health Sciences Center
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J. Quincy Brown
1Department of Biomedical Engineering, Tulane University
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  • ORCID record for J. Quincy Brown
  • For correspondence: jqbrown@tulane.edu sfox3@lsuhsc.edu
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Abstract

The study of pulmonary samples from individuals who have died as a direct result of COVID-19 infection is vital to our understanding of the pathogenesis of this disease. Histopathologic studies of lung tissue from autopsy of patients with COVID-19 specific mortality are only just emerging. All existing reports have relied on traditional 2-dimensional slide-based histological methods for specimen preparation. However, emerging methods for high-resolution, massively multiscale imaging of tissue microstructure using fluorescence labeling and tissue clearing methods enable the acquisition of tissue histology in 3-dimensions, that could open new insights into the nature of SARS-Cov-2 infection and COVID-19 disease processes. In this article, we present the first 3-dimensional images of lung autopsy tissues taken from a COVID-19 patient, including 3D “virtual histology” of cubic-millimeter volumes of the diseased lung, providing unique insights into disease processes contributing to mortality that could inform frontline treatment decisions.

Competing Interest Statement

JQB is a co-founder and shareholder in Instapath Inc. No other authors declare competing interests.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 17, 2020.
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Multiscale 3-dimensional pathology findings of COVID-19 diseased lung using high-resolution cleared tissue microscopy
Guang Li, Sharon E. Fox, Brian Summa, Carola Wenk, Aibek Akmatbekov, Jack L. Harbert, Richard S. Vander Heide, J. Quincy Brown
bioRxiv 2020.04.11.037473; doi: https://doi.org/10.1101/2020.04.11.037473
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Multiscale 3-dimensional pathology findings of COVID-19 diseased lung using high-resolution cleared tissue microscopy
Guang Li, Sharon E. Fox, Brian Summa, Carola Wenk, Aibek Akmatbekov, Jack L. Harbert, Richard S. Vander Heide, J. Quincy Brown
bioRxiv 2020.04.11.037473; doi: https://doi.org/10.1101/2020.04.11.037473

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