Scanning laser optical tomography for in toto imaging of the murine cochlea

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Nolte, L.; Tinne, N.; Schulze, J.; Heinemann, D.; Antonopoulos, G.C. et al.: Scanning laser optical tomography for in toto imaging of the murine cochlea. In: PLoS ONE 12 (2017), Nr. 4, e0175431. DOI: https://doi.org/10.1371/journal.pone.0175431

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Abstract: 
The mammalian cochlea is a complex macroscopic structure due to its helical shape and the microscopic arrangements of the individual layers of cells. To improve the outcomes of hearing restoration in deaf patients, it is important to understand the anatomic structure and composition of the cochlea ex vivo. Hitherto, only one histological technique based on confocal laser scanning microscopy and optical clearing has been developed for in toto optical imaging of the murine cochlea. However, with a growing size of the specimen, e.g., human cochlea, this technique reaches its limitations. Here, we demonstrate scanning laser optical tomography (SLOT) as a valuable imaging technique to visualize the murine cochlea in toto without any physical slicing. This technique can also be applied in larger specimens up to cm3 such as the human cochlea. Furthermore, immunolabeling allows visualization of inner hair cells (otoferlin) or spiral ganglion cells (neurofilament) within the whole cochlea. After image reconstruction, the 3D dataset was used for digital segmentation of the labeled region. As a result, quantitative analysis of position, length and curvature of the labeled region was possible. This is of high interest in order to understand the interaction of cochlear implants (CI) and cells in more detail. © 2017 Nolte et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
License of this version: CC BY 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
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1 image of flag of Germany Germany 151 89.88%
2 image of flag of United States United States 8 4.76%
3 image of flag of China China 3 1.79%
4 image of flag of Canada Canada 2 1.19%
5 image of flag of No geo information available No geo information available 1 0.60%
6 image of flag of Turkey Turkey 1 0.60%
7 image of flag of Hungary Hungary 1 0.60%
8 image of flag of Switzerland Switzerland 1 0.60%

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