VolViewer: Difference between revisions
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[[Image:VolViewer.png|256px|thumb]] | [[Image:VolViewer.png|256px|thumb]] | ||
VolViewer is an application for the interactive visualisation of biological data. The application is written in C++ using OpenGL and Qt | VolViewer is an application for the interactive visualisation of biological data. The application is written in C++ using OpenGL and Qt. | ||
Features: | Features: | ||
* Real-time volume rendering using an optimized 3D texture algorithm. | * Real-time volume rendering using an optimized 3D texture slicing algorithm. | ||
* Interactive transfer functions to independelty adjust opacity and luminance for up to three data channels. | * Interactive transfer functions to independelty adjust opacity and luminance for up to three data channels. | ||
* Real-time thresholding, brightness and contrast operators. | * Real-time per channel thresholding, brightness and contrast operators. | ||
* On-the-fly gradient computation for local illumination. | * On-the-fly gradient computation for local illumination. | ||
* Iso-surface computation. | * Iso-surface computation with surface smoothing. | ||
* Section viewing in any orientation / position. | * Section viewing in any orientation / position. | ||
* Real-time volume clipping. | * Real-time volume clipping. |
Revision as of 11:53, 2 June 2010
Description
VolViewer is an application for the interactive visualisation of biological data. The application is written in C++ using OpenGL and Qt.
Features:
- Real-time volume rendering using an optimized 3D texture slicing algorithm.
- Interactive transfer functions to independelty adjust opacity and luminance for up to three data channels.
- Real-time per channel thresholding, brightness and contrast operators.
- On-the-fly gradient computation for local illumination.
- Iso-surface computation with surface smoothing.
- Section viewing in any orientation / position.
- Real-time volume clipping.
- 3D measurements.
Requirements:
Nvidia Geforce 8 and above.
Gallery
* all data courtesy of Karen Lee [1]
Download
Windows (32bit) | Windows (64bit) | Linux (64bit) | MacOS X (i386/x86_64/10.5+)
Source Code
https://cmpdartsvr1.cmp.uea.ac.uk/omerosvn/BioptonicsViewerOMERO/
Author
- Jerome Avondo.