| Autor: |
Shinji Urata, Tadatsune Iida, Yuri Suzuki, Shiou-Yuh Lin, Yu Mizushima, Chisato Fujimoto, Yu Matsumoto, Tastuya Yamasoba |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Bio-Protocol, Vol 9, Iss 16 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2331-8325 |
| DOI: |
10.21769/BioProtoc.3342 |
| Popis: |
Here, we describe a sorbitol-based optical clearing method, called modified Sca/eS that can be used to image all hair cells (HCs) in the mouse cochlea. This modification of Sca/eS is defined by three steps: decalcification, de-lipidation, and refractive index matching, which can all be completed within 72 h. Furthermore, we established automated analysis programs that perform machine learning-based pattern recognition. These programs generate 1) a linearized image of HCs, 2) the coordinates of HCs, 3) a holocochleogram, and 4) clusters of HC loss. In summary, a novel approach that integrates modified Sca/eS and programs based on machine learning facilitates quantitative and comprehensive analysis of the physiological and pathological properties of all HCs. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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