Visualization of complex biological systems: An immune response model using OpenGL

Burns, John, Ruskin, Heather J., Perrin, Dimitri, & Walsh, John (2009) Visualization of complex biological systems: An immune response model using OpenGL. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 4, pp. 671-679.

View at publisher

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 idealised lymphatic compartment.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

7 since deposited on 06 May 2015
2 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 82667
Item Type: Journal Article
Refereed: Yes
Additional Information: Complex Sciences: First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1
Keywords: Visualization, Emergent Behavior, Immune Response
DOI: 10.1007/978-3-642-02466-5_65
ISBN: 9783642024665
ISSN: 1867-8211
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2009 Springer Berlin Heidelberg
Copyright Statement: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-02466-5_65
Deposited On: 06 May 2015 23:44
Last Modified: 15 May 2015 05:54

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page