論文

2019年7月10日

An annotation dataset facilitates automatic annotation of whole-brain activity imaging of C. elegans

  • Yu Toyoshima
  • Stephen Wu
  • Manami Kanamori
  • Hirofumi Sato
  • Moon Sun Jang
  • Suzu Oe
  • Yuko Murakami
  • Takayuki Teramoto
  • ChanHyun Park
  • Yuishi Iwasaki
  • Takeshi Ishihara
  • Ryo Yoshida
  • Yuichi Iino
  • 全て表示

DOI
10.1101/698241
出版者・発行元
Cold Spring Harbor Laboratory

<title>Abstract</title>Annotation of cell identity is an essential process in neuroscience that allows for comparing neural activities across different animals. In <italic>C. elegans</italic>, although unique identities have been assigned to all neurons, the number of annotatable neurons in an intact animal is limited in practice and comprehensive methods for cell annotation are required. Here we propose an efficient annotation method that can be integrated with the whole-brain imaging technique. We systematically identified neurons in the head region of 311 adult worms using 35 cell-specific promoters and created a dataset of the expression patterns and the positions of the neurons. The large positional variations illustrated the difficulty of the annotation task. We investigated multiple combinations of cell-specific promoters to tackle this problem. We also developed an automatic annotation method with human interaction functionality that facilitates annotation for whole-brain imaging.

リンク情報
DOI
https://doi.org/10.1101/698241
URL
https://syndication.highwire.org/content/doi/10.1101/698241
ID情報
  • DOI : 10.1101/698241

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