RT Journal Article
SR Electronic
T1 An annotation dataset facilitates automatic annotation of whole-brain activity imaging of <em>C. elegans</em>
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 698241
DO 10.1101/698241
A1 Yu Toyoshima
A1 Stephen Wu
A1 Manami Kanamori
A1 Hirofumi Sato
A1 Moon Sun Jang
A1 Suzu Oe
A1 Yuko Murakami
A1 Takayuki Teramoto
A1 ChanHyun Park
A1 Yuishi Iwasaki
A1 Takeshi Ishihara
A1 Ryo Yoshida
A1 Yuichi Iino
YR 2019
UL http://biorxiv.org/content/early/2019/07/18/698241.abstract
AB Annotation of cell identity is an essential process in neuroscience that allows for comparing neural activities across different animals. In C. elegans, 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.