The NCI VizLab is able to work with researchers to produce visualisations that suit their datasets. These include numerical modelling datasets, volumetric datasets and others. Ideally, researchers should approach the VizLab team before the datasets are produced, with their application to use NCI’s high-performance computing facilities. Contact email@example.com for more information.
VizLab also produces several visualisation software packages:
Drishti is a free, open source software package, developed by the NCI VizLab team, that allows researchers to explore and present their volumetric datasets such as tomography data and electron-microscopy data as images and animations. Drishti can be used to explore any volumetric dataset, from the world’s smallest insects to topographic maps of the Australian continent. The central idea of the program is that scientists can use it to explore and present their datasets without extensive training.
Drishti allows researchers to:
- explore volumetric data in 3D and 4D, allowing for visualisation of a heart beating in real time, for example
- explore large datasets in excess of 30 Gigabytes
- enhance visual data with advanced lighting techniques, resulting in more realistic visuals.
“Drishti is a remarkable, cutting edge research tool which we use on a daily basis.
It is critically important to the work we do.”
Dr Ian Smyth, Faculty of Medicine, Monash University
Drishti Prayog is a presentation tool that allows users to interact with Drishti-generated visualisations using a touch screen.
Drishti Prayog is a free, easy-to-use resource for museums, schools, businesses, and anyone who is interested in exploring the nature of things.
In 2013 NCI’s VizLab launched a new web browser-based application – Voluminous – to make data visualisation services accessible anytime, anywhere.
Voluminous delivers the visualisation functionality of Drishti using NCI’s cloud infrastructure, so users can access their images and videos from any computer that’s connected to the internet.
Voluminous also has features to enhance collaboration between researchers. Users are able to capture ‘snapshots’ of a visualisation that can be given permanent URLs and be published to online galleries. Comments and annotations can then be added by the scientific community in a similar way to social networking sites.