Nature Communications (Mar 2019)

Computational geometry analysis of dendritic spines by structured illumination microscopy

  • Yutaro Kashiwagi,
  • Takahito Higashi,
  • Kazuki Obashi,
  • Yuka Sato,
  • Noboru H. Komiyama,
  • Seth G. N. Grant,
  • Shigeo Okabe

DOI
https://doi.org/10.1038/s41467-019-09337-0
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 14

Abstract

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We are currently short of methods that can extract objective parameters of dendritic spines useful for their categorization. Authors present in this study an automatic analytical pipeline for spine geometry using 3D-structured illumination microscopy, which can effectively extract many geometrical parameters of dendritic spines without bias and automatically categorize spine population based on their morphological features