VolViewer

Description

The VolViewer main application window.

VolViewer is an open source application for the interactive visualisation and quantification 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 independently 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, filters & segmentation.
• Key frame interpolation for easy movie creation/export by interpolating transformations, clipping and transfer function states.

Requirements: An OpenGL 2.1 / GLSL 1.20 compatible GPU with a recomended 512MB of memory.

User Manual

• Quick Guide with exercises.

Image Gallery / Sample Data *

Antirinhium Meristem	Antirinhium Seedling	Arabidopsis Leaf (GL2:GUS expression in red)	Arabidopsis Meristem (Ath8:::GUS expression in red)
Download	Download	Download	Download

* all data courtesy of Karen Lee [1]

Download

Although we try to keep up to date builds these sometimes lag behind the SVN trunk. So if you want the latest version / features, it is best to build the application from the trunk of the SVN. The build system is based on qmake for easy cross platform compilation.

Windows (32bit)

Windows (64bit)

Linux (64bit)

MacOS X (i386/x86_64/10.5+)

Source Code

Public SVN: https://cmpdartsvr1.cmp.uea.ac.uk/banghamlabSVN/VolViewer/

Video Demos

Interaction_Demo3.png</wikiflv> This video shows the interactive visualisation capabilities of VolViewer.
Measure1_Demo.png</wikiflv> This video illustrates how to capture the shape of cell outlines using the measurement tool.	Measure2_Demo.png</wikiflv> This video shows the measurement and clipping capabilities of VolViewer to capture a 3D cell.

Media/Press

VolViewer has appeared in the following:

• Front cover: Handbook of Plant Science

• Bundled with the commercial Optical Projection Tomography Bioptonic 3001 scanner: Bioptonics Viewer

• In the Guardian newspaper: 3D Fruit fly

• Showcased in the Qt Ambassador program.

Author

• Dr Jerome Avondo