Semi-automated counting of axon regeneration in poly(lactide co-glycolide) spinal cord bridges
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- 作者：Dylan A. McCreedya ; Daniel J. Margula ; Stephanie K. Seidlitsb ; c ; Jennifer T. Antaneb ; Ryan J. Thomasa ; Gillian M. Sissmana ; Ryan M. Boehlerb ; Dominique R. Smithb ; Sam W. Goldsmithb ; Todor V. Kukushlievb ; Jonathan B. Lamanob ; Bansi H. Vediab ; Ting Heb ; Lonnie D. Sheaa ; ldshea@umich.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Spinal cord injury ; Hessian filter ; Myelination ; Automated quantification
- 刊名：Journal of Neuroscience Methods
- 出版年：2016
- 出版时间：1 April 2016
- 年：2016
- 卷：263
- 期：Complete
- 页码：15-22
- 全文大小：2025 K
文摘
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Hessian-based filtering improves the image contrast of spinal cord axon staining.
Axons can be detected within the filtered images with accurate, automated counting.
Filtering and semi-automated counting effectively estimates the number of myelinated axons.