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Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models

The inner ear of humans and large animals is embedded in a thick and dense bone that makes dissection challenging. Here, we present a protocol that enables three-dimensional (3D) characterization of intact inner ears from large-animal models. We describe steps for decalcifying bone, using solvents t...

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Detalles Bibliográficos
Autores principales: Moatti, Adele, Cai, Yuheng, Li, Chen, Popowski, Kristen D., Cheng, Ke, Ligler, Frances S., Greenbaum, Alon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140170/
https://www.ncbi.nlm.nih.gov/pubmed/37060559
http://dx.doi.org/10.1016/j.xpro.2023.102220
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author Moatti, Adele
Cai, Yuheng
Li, Chen
Popowski, Kristen D.
Cheng, Ke
Ligler, Frances S.
Greenbaum, Alon
author_facet Moatti, Adele
Cai, Yuheng
Li, Chen
Popowski, Kristen D.
Cheng, Ke
Ligler, Frances S.
Greenbaum, Alon
author_sort Moatti, Adele
collection PubMed
description The inner ear of humans and large animals is embedded in a thick and dense bone that makes dissection challenging. Here, we present a protocol that enables three-dimensional (3D) characterization of intact inner ears from large-animal models. We describe steps for decalcifying bone, using solvents to remove color and lipids, and imaging tissues in 3D using confocal and light sheet microscopy. We then detail a pipeline to count hair cells in antibody-stained and 3D imaged cochleae using open-source software. For complete details on the use and execution of this protocol, please refer to (Moatti et al., 2022).(1)
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spelling pubmed-101401702023-04-29 Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models Moatti, Adele Cai, Yuheng Li, Chen Popowski, Kristen D. Cheng, Ke Ligler, Frances S. Greenbaum, Alon STAR Protoc Protocol The inner ear of humans and large animals is embedded in a thick and dense bone that makes dissection challenging. Here, we present a protocol that enables three-dimensional (3D) characterization of intact inner ears from large-animal models. We describe steps for decalcifying bone, using solvents to remove color and lipids, and imaging tissues in 3D using confocal and light sheet microscopy. We then detail a pipeline to count hair cells in antibody-stained and 3D imaged cochleae using open-source software. For complete details on the use and execution of this protocol, please refer to (Moatti et al., 2022).(1) Elsevier 2023-04-14 /pmc/articles/PMC10140170/ /pubmed/37060559 http://dx.doi.org/10.1016/j.xpro.2023.102220 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Moatti, Adele
Cai, Yuheng
Li, Chen
Popowski, Kristen D.
Cheng, Ke
Ligler, Frances S.
Greenbaum, Alon
Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
title Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
title_full Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
title_fullStr Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
title_full_unstemmed Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
title_short Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
title_sort tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140170/
https://www.ncbi.nlm.nih.gov/pubmed/37060559
http://dx.doi.org/10.1016/j.xpro.2023.102220
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