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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Spatial patterns of noise-induced inner hair cell ribbon loss in the mouse mid-cochlea 期刊论文 ISCIENCE, 2024, 卷号: 27, 期号: 2, 页码: 16 作者:  Lu, Yan;  Liu, Jing;  Li, Bei;  Wang, Haoyu;  Wang, Fangfang 收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03 Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells 期刊论文 NEUROSCIENCE BULLETIN, 2021, 页码: 14 作者:  Liu, Jing;  Wang, Shengxiong;  Lu, Yan;  Wang, Haoyu;  Wang, Fangfang 收藏  |  浏览/下载：59/0  |  提交时间：2021/12/28 Inner hair cell  Ribbon synapse  Mitochondrial network  Volume electron microscopy  AI-based image processing   Olivocochlear Innervation Maintains the Normal Modiolar-Pillar and Habenular-Cuticular Gradients in Cochlear Synaptic Morphology 期刊论文 JARO-JOURNAL OF THE ASSOCIATION FOR RESEARCH IN OTOLARYNGOLOGY, 2014, 卷号: 15, 期号: 4 作者:  Yin, Yanbo;  Liberman, Leslie D.;  Maison, Stephane F.;  Liberman, M. Charles 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/19 auditory nerve  inner ear  synaptic ribbon  glutamate receptor   Quantitative analysis of the ribbon synapse number of cochlear inner hair cells in C57BL/6J mice using the three-dimensional modeling method 期刊论文 SCIENCE IN CHINA SERIES C-LIFE SCIENCES, 2009, 卷号: 52, 期号: 9, 页码: 807-812 作者:  Liu Ke;  Li ShuNa;  Jiang XueJun 收藏  |  浏览/下载：30/0  |  提交时间：2021/02/02 ELECTRON TOMOGRAPHY  RECONSTRUCTION  INNERVATION  SECTIONS  PROTEINS  VESICLE  IMAGES  inner hair cells  Ribbon synapses  laser scanning confocal microscope  three-dimensional modeling   Quantitative analysis of the ribbon synapse number of cochlear inner hair cells in C57BL/6J mice using the three-dimensional modeling method 期刊论文 SCIENCE IN CHINA SERIES C-LIFE SCIENCES, 2009, 卷号: 52, 期号: 9, 页码: 807-812 作者:  Liu Ke;  Li ShuNa;  Jiang XueJun 收藏  |  浏览/下载：35/0  |  提交时间：2021/02/02 ELECTRON TOMOGRAPHY  RECONSTRUCTION  INNERVATION  SECTIONS  PROTEINS  VESICLE  IMAGES  inner hair cells  Ribbon synapses  laser scanning confocal microscope  three-dimensional modeling