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Analysis of structure and movement of neural growth cone

Nagase, Fumiaki LU (2014) In Master's Theses in Mathematical Sciences FMAM01 20132
Mathematics (Faculty of Engineering)
Abstract
Growth cone is a sensory and motile part at the tip of a neuron and its main function is path finding. In previous works many chemical cascades and simple structure of growth cone were revealed. However, to understand the whole function of growth cone, deeper research on structure, especially on filopodia, is desired. Here, in this thesis, we developed a new method to segment growth cone and also count and categorize filopodia. Furthermore, evaluation of previous method and this new method were also established. By using this new software, deeper and more detailed research of structure of growth cone is now possible. The method has been tested on real data and evaluated against manually annotated ground truth with promising results.
Please use this url to cite or link to this publication:
author
Nagase, Fumiaki LU
supervisor
organization
course
FMAM01 20132
year
type
H2 - Master's Degree (Two Years)
subject
keywords
growth cone, segmentation, neuron, graph cuts
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMA-3256-2013
ISSN
1404-6342
other publication id
2013:E67
language
English
additional info
This is the work of a double degree student from Keio University in Japan.
id
4934064
date added to LUP
2015-02-09 13:08:05
date last changed
2015-02-09 13:08:05
@misc{4934064,
  abstract     = {{Growth cone is a sensory and motile part at the tip of a neuron and its main function is path finding. In previous works many chemical cascades and simple structure of growth cone were revealed. However, to understand the whole function of growth cone, deeper research on structure, especially on filopodia, is desired. Here, in this thesis, we developed a new method to segment growth cone and also count and categorize filopodia. Furthermore, evaluation of previous method and this new method were also established. By using this new software, deeper and more detailed research of structure of growth cone is now possible. The method has been tested on real data and evaluated against manually annotated ground truth with promising results.}},
  author       = {{Nagase, Fumiaki}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Analysis of structure and movement of neural growth cone}},
  year         = {{2014}},
}