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Tytuł artykułu

The Neurevise - software for three-dimensional visualization and editing of neuron morphology data files

Identyfikatory
Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering 2010 [Poznań, April 19-21, 2010]
Języki publikacji
EN
Abstrakty
EN
Neurevise is a brand new software solution, capable of displaying three-dimensional representations of neural cells, stored in text files with a standard "swc" extension. This paper describes its implementation, focusing on programming techniques and underlying technology responsible for displaying the three-dimensional image as well as the editing features. It also highlights the simple yet effective design of the customizable user interface, alternative input methods and stereoscopic rendering. Moreover, the article presents the ability of the application to correct errors in the neuron morphology descriptions, both automatically and on user's demand.
Słowa kluczowe
Rocznik
Tom
Strony
69--78
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
autor
autor
autor
  • Poznan University of Technology
Bibliografia
  • [1] Cannon R.C., Turner D.A., Pyapali G.K., Wheal H.V. (1998). “An on-line archive of reconstructed hippocampal neurons”, Journal of Neuroscience Methods 84: 49-54.
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  • [3] Eberly D.H. (2001). “3D Game Engine Architecture”, Academic Press, London.
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  • [5] Nokia Qt Development Frameworks (2009). “Meta-Object Compiler”, as of 06.10.2010 available at http://doc.qt.nokia.com/4.6/moc.html.
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  • [7] Nokia Qt Development Frameworks (2009). “qmake Manual”, as of 06.10.2010 available at http://doc.qt.nokia.com/4.6/qmake-manual.html
  • [8] Nokia Qt Development Frameworks (2009). “Qt OpenGL Widget”, as of 06.10.2010 available at http://doc.qt.nokia.com/4.6/qglwidget.html
  • [9] Lobel R. (2009). “Magenta-Cyan Anaglyphs”, as of 06.10.2010 available at http ://divideconcept.net/
  • [10] Song Ho Ahn (2005). “OpenGL transformations”, as of 06.10.2010 available at http://www.songho.ca/opengl/gl_transform.html
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  • [12] Szulc M., Dybizbański T., Jurkowlaniec A., Losy J., Michalak S., Rybarczyk A., Kozubski W. (2009). “The interpretation of oligoclonal bands based on artificial neuronal networks”, Acta Neurobiologiae Experimentalis 2009, Vol. 69, No. 1, s. 100.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP4-0002-0048
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