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

John Burns; Heather J. Ruskin; Dimitri Perrin; John Walsh

doi:10.1007/978-3-642-02466-5_65

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

John Burns, Heather J. Ruskin, Dimitri Perrin, John Walsh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Complex Sciences - First International Conference, Complex 2009, Revised Papers
Pages	671-679
Number of pages	9
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-02466-5_65
Publication status	Published - 2009
Externally published	Yes
Event	1st International Conference on Complex Sciences: Theory and Applications, Complex 2009 - Shanghai, China Duration: 23 Feb 2009 → 25 Feb 2009

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Number	PART 1
Volume	4 LNICST
ISSN (Print)	1867-8211

Conference

Conference	1st International Conference on Complex Sciences: Theory and Applications, Complex 2009
Country/Territory	China
City	Shanghai
Period	23/02/09 → 25/02/09

Keywords

Emergent behavior
Immune response
Visualization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-02466-5_65

Cite this

Burns, J., Ruskin, H. J., Perrin, D., & Walsh, J. (2009). Visualization of complex biological systems: An immune response model using OpenGL. In Complex Sciences - First International Conference, Complex 2009, Revised Papers (PART 1 ed., pp. 671-679). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 4 LNICST, No. PART 1). https://doi.org/10.1007/978-3-642-02466-5_65

Burns, John ; Ruskin, Heather J. ; Perrin, Dimitri et al. / Visualization of complex biological systems : An immune response model using OpenGL. Complex Sciences - First International Conference, Complex 2009, Revised Papers. PART 1. ed. 2009. pp. 671-679 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; PART 1).

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title = "Visualization of complex biological systems: An immune response model using OpenGL",

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.",

keywords = "Emergent behavior, Immune response, Visualization",

author = "John Burns and Ruskin, \{Heather J.\} and Dimitri Perrin and John Walsh",

year = "2009",

doi = "10.1007/978-3-642-02466-5\_65",

language = "English",

isbn = "3642024653",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",

number = "PART 1",

pages = "671--679",

booktitle = "Complex Sciences - First International Conference, Complex 2009, Revised Papers",

edition = "PART 1",

note = "1st International Conference on Complex Sciences: Theory and Applications, Complex 2009 ; Conference date: 23-02-2009 Through 25-02-2009",

}

Burns, J, Ruskin, HJ, Perrin, D & Walsh, J 2009, Visualization of complex biological systems: An immune response model using OpenGL. in Complex Sciences - First International Conference, Complex 2009, Revised Papers. PART 1 edn, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, no. PART 1, vol. 4 LNICST, pp. 671-679, 1st International Conference on Complex Sciences: Theory and Applications, Complex 2009, Shanghai, China, 23/02/09. https://doi.org/10.1007/978-3-642-02466-5_65

Visualization of complex biological systems: An immune response model using OpenGL. / Burns, John; Ruskin, Heather J.; Perrin, Dimitri et al.
Complex Sciences - First International Conference, Complex 2009, Revised Papers. PART 1. ed. 2009. p. 671-679 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 4 LNICST, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Visualization of complex biological systems

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AU - Burns, John

AU - Ruskin, Heather J.

AU - Perrin, Dimitri

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AB - 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.

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KW - Immune response

KW - Visualization

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Burns J, Ruskin HJ, Perrin D, Walsh J. Visualization of complex biological systems: An immune response model using OpenGL. In Complex Sciences - First International Conference, Complex 2009, Revised Papers. PART 1 ed. 2009. p. 671-679. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; PART 1). doi: 10.1007/978-3-642-02466-5_65

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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this