Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158997
Title: Visualization of 3D neuronal networks
Authors: Shao, LuJie
Keywords: Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Shao, L. (2022). Visualization of 3D neuronal networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158997
Project: PSCSE20-0093
Abstract: The study of computer graphics is now popular in generating 2D or 3D images. The implementation of computer graphics is essential and the applications are created to be used in various fields such as education and training, biology, architecture, entertainment, visualization, etc. One of the research fields is about understanding and analysing complicated features and behaviours of the human brain. 3D visualization provides a useful tool for analysing the complicated features and behaviours of dense neural networks. The purpose of the project is to investigate techniques for visualizing the point-and-diameterbased neurons as 3 Dimensional by using a POV-Ray-based visualizer according to the neuronal morphology descriptions defined in neuronal morphology SWC format files. A program is created to convert the existing SWC file of the neuron to a POV-Ray file to render the 3D visualization of the neuron.
URI: https://hdl.handle.net/10356/158997
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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