Perceptual issues in the recovery and visualisation of integrated systems biology data

Tony Pridmore

doi:10.1117/12.882104

4 March 2011 Perceptual issues in the recovery and visualisation of integrated systems biology data

Tony Pridmore

Proceedings Volume 7865, Human Vision and Electronic Imaging XVI; 78650F (2011) https://doi.org/10.1117/12.882104
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

The systems approach to biological research emphasises understanding of complete biological systems, rather than a reductionist focus on tightly defined component parts. Systems biology is naturally interdisciplinary; research groups active in this area typically contain experimental and theoretical biologists, mathematicians, statisticians, computer scientists and engineers. A wide range of tools are used to generate a variety of data types which must be integrated, presented to and analysed by researchers from any and all of the contributing disciplines. The goal here is to create predictive models of the system of interest; the models produced must also be analysed, and in the context of the data from which they were generated. Effective, integrated data and model visualisation methods are crucial if scientificallyappropriate judgments are to be made. The Nottingham Centre for Plant Integrative Biology (CPIB) takes a systems approach to the study of the root of the model plant Arabidopsis Thaliana. A rich mixture of data types, many extracted via automatic analysis of individual and time-ordered sequences of standard CCD and confocal laser microscope images, is used to create models of different aspects of the growth of the Arabidopsis root. This talk briefly reviews the data sets and flow of information within CPIB, and discuss issues raised by the need to interpret images of the Arabidopsis root and integrate and present the resulting data and models to an interdisciplinary audience.

Citation Download Citation

Tony Pridmore "Perceptual issues in the recovery and visualisation of integrated systems biology data", Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650F (4 March 2011); https://doi.org/10.1117/12.882104

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KEYWORDS

Data modeling

Visualization

Biology

Systems modeling

Confocal microscopy

Image segmentation

Mathematical modeling

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