Visualization of 3D neuronal networks
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 rese...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158997 |
| _version_ | 1811680541116727296 |
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| author | Shao, LuJie |
| author2 | Zheng Jianmin |
| author_facet | Zheng Jianmin Shao, LuJie |
| author_sort | Shao, LuJie |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:26:41Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158997 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:26:41Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1589972022-06-09T00:11:46Z Visualization of 3D neuronal networks Shao, LuJie Zheng Jianmin School of Computer Science and Engineering ASJMZheng@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Computer graphics 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. Bachelor of Engineering (Computer Engineering) 2022-06-09T00:11:46Z 2022-06-09T00:11:46Z 2022 Final Year Project (FYP) Shao, L. (2022). Visualization of 3D neuronal networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158997 https://hdl.handle.net/10356/158997 en PSCSE20-0093 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Computer graphics Shao, LuJie Visualization of 3D neuronal networks |
| title | Visualization of 3D neuronal networks |
| title_full | Visualization of 3D neuronal networks |
| title_fullStr | Visualization of 3D neuronal networks |
| title_full_unstemmed | Visualization of 3D neuronal networks |
| title_short | Visualization of 3D neuronal networks |
| title_sort | visualization of 3d neuronal networks |
| topic | Engineering::Computer science and engineering::Computing methodologies::Computer graphics |
| url | https://hdl.handle.net/10356/158997 |
| work_keys_str_mv | AT shaolujie visualizationof3dneuronalnetworks |