Research Article
Visualization of Complex Biological Systems: An Immune Response Model Using OpenGL
@INPROCEEDINGS{10.1007/978-3-642-02466-5_65, author={John Burns and Heather Ruskin and Dimitri Perrin and John Walsh}, title={Visualization of Complex Biological Systems: An Immune Response Model Using OpenGL}, proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1}, proceedings_a={COMPLEX PART 1}, year={2012}, month={5}, keywords={Visualization Emergent Behavior Immune Response}, doi={10.1007/978-3-642-02466-5_65} }- John Burns
Heather Ruskin
Dimitri Perrin
John Walsh
Year: 2012
Visualization of Complex Biological Systems: An Immune Response Model Using OpenGL
COMPLEX PART 1
Springer
DOI: 10.1007/978-3-642-02466-5_65
Abstract
In this paper we present an update on our novel visualization technologies based on cellular immune interaction from both large-scale spatial and temporal perspectives. We do so with a primary motive: to present a visually and behaviourally realistic environment to the community of experimental biologists and physicians such that their knowledge and expertise may be more readily integrated into the model creation and calibration process. Visualization aids understanding as we rely on visual perception to make crucial decisions. For example, with our initial model, we can visualize the dynamics of an idealized lymphatic compartment, with antigen presenting cells (APC) and cytotoxic T lymphocyte (CTL) cells. The visualization technology presented here offers the researcher the ability to start, pause, zoom-in, zoom-out and navigate in 3-dimensions through an lymphatic compartment.