The aim of this project was to design and develop a visualisation linking multiple levels of information in a biological system. The resulting visualisation allowed the viewer to scale between the macro and micro structures involved in the mechanisms of migraine pain.
This project was funded in part by the Canadian Institute for Health Research (CIHR) Strategic Training Program on Pain and developed in the Department of Biomedical Communications at The University of Toronto, Canada.
Video 1: Zooming in from the brain to the specific cells and transporters involved in migraine pain
Video 2: A propagation wave of neuronal and glial cell depolarisation across the brain during a migraine episode.
Video 3: Using a pilot to locate and zoom in to the structures along a signal pathway that lead to the perception of migraine pain.
Complex Systems Thinking
The aim of this project was to design and develop a visualisation to prompt students to consider the relationships between the structures, behaviours, and functions of a complex system.
In this visualisation of the renal system, the focus was on how to present the interactions between individual parts at the micro level that gave rise to different patterns and/or states at the macro level. From four user studies, the resulting visualisation combined anatomical and graphical representations that enabled students to overcome previous misconceptions and to intuitively interpret and infer the physiological processes that make the renal system work.
This project was developed in the Faculty of Medicine, Dentistry, and Health Sciences at the University of Melbourne, Australia.
Video: Visualisation combining anatomical and graphical representations of the renal system showing how the removal of different percentages of the the kidney impacts the anatomy and physiology at the micro and macro levels
Raw data comes in many forms. How that data is visualised is important for the interpretation, inference and decision-making of results, and the dissemination of information.
The data collected from four user studies in the previous project, Complex System Thinking, included participate created drawings, transcribed audio interviews, written questionnaires, videos of screen captures, and time logs. The examples shown here illustrate various ways of visualising qualitative multi-variable data for pattern identification, compare-and-contrast, and presentation of findings.
Figure 1: A visual showing commonalities and difference in the type of representations ten participants created to convey structural, behavioural, and functional information of a complex process.
Figure 2: An annotated timeline summarising how a participant used a computer-based interactive visualisation with descriptions to indicate the reasons for their actions. A timeline was created for each participant and used as a visual comparison afterwards.
Figure 3: A graph comparing ten participants’ use of an educational computer-based interactive visualisation (five variables) in relation to their reasoning and understanding of the information.