Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models.
Tissue clearing and three-dimensional imaging of the whole cochlea and vestibular system from multiple large-animal models.
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DOI:
10.1016/j.xpro.2023.102220
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发表时间:
2023-04-13
期刊:
影响因子:
--
通讯作者:
Greenbaum, Alon
中科院分区:
文献类型:
--
作者:
Moatti, Adele;Cai, Yuheng;Li, Chen;Popowski, Kristen D.;Cheng, Ke;Ligler, Frances S.;Greenbaum, Alon
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). This protocol supports the investigation of the 3D cytoarchitecture of the inner ear Removal of Ca, lipids, and pigments to improve light penetration by several mm Tissue clearing increases antibody diffusion to analyze larger animal inner ears Hair cell counting at 3D subcellular resolution using open-source software Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. 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.
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影响因子:
3.4
作者:
Rai, Mani Ratnam;Li, Chen;Greenbaum, Alon
通讯作者:
Greenbaum, Alon
影响因子:
3
作者:
Bria A;Iannello G
通讯作者:
Iannello G
影响因子:
3.4
作者:
Li, Chen;Moatti, Adele;Greenabum, Alon
通讯作者:
Greenabum, Alon
影响因子:
48
作者:
Berg, Stuart;Kutra, Dominik;Kreshuk, Anna
通讯作者:
Kreshuk, Anna
DOI:
10.1093/bioinformatics/btt276
发表时间:
2013-07-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Ollion J;Cochennec J;Loll F;Escudé C;Boudier T
通讯作者:
Boudier T