The Multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) is a national imaging and visualization facility established by Monash University, the Australian Synchrotron, the Commonwealth Scientific Industrial Research Organization (CSIRO), and the Victorian Partnership for Advanced Computing (VPAC), with funding from the National Computational Infrastructure and the Victorian Government. The MASSIVE facility provides hardware, software, and expertise to drive research in the biomedical sciences, particularly advanced brain imaging research using synchrotron x-ray and infrared imaging, functional and structural magnetic resonance imaging (MRI), x-ray computer tomography (CT), electron microscopy and optical microscopy. The development of MASSIVE has been based on best practice in system integration methodologies, frameworks, and architectures. The facility has: (i) integrated multiple different neuroimaging analysis software components, (ii) enabled cross-platform and cross-modality integration of neuroinformatics tools, and (iii) brought together neuroimaging databases and analysis workflows. MASSIVE is now operational as a nationally distributed and integrated facility for neuroinfomatics and brain imaging research.

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We present encube-a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative visualisation systems by considering: (1) the integration of comparative visualisation and analysis into a unified system; (2) the documentation of the discovery process; and (3) an approach that enables scientists to continue the research process once back at their desktop. Our solution enables tablets, smartphones or laptops to be used as interaction units for manipulating, organising, and querying data. We highlight the modularity of encube, allowing additional functionalities to be included as required. Additionally, our approach supports a high level of collaboration within the physical environment. We show how our implementation of encube operates in a large-scale, hybrid visualisation and supercomputing environment using the CAVE2 at Monash University, and on a local desktop, making it a versatile solution. We discuss how our approach can help accelerate the discovery rate in a variety of research scenarios.

Although large-scale stereoscopic 3D environments like CAVEs are a favorable location for group presentations, the perspective projection and stereoscopic optimization usually follows a navigator-centric approach. Therefore, these presentations are usually accompanied by strong side-effects, such as motion sickness which is often caused by a disturbed stereoscopic vision. The reason is that the stereoscopic visualization is usually optimized for the only head-tracked person in the CAVE-the navigator-ignoring the needs of the real target group-the audience. To overcome this misconception, this work proposes an alternative to the head tracking-based stereoscopic effect optimization. By using an interactive virtual overview map in 3D, the pre-tour and on-tour configuration of the stereoscopic effect is provided, partly utilizing our previously published interactive projection plane approach. This Stereoscopic Space Map is visualized by the zSpace 200®, whereas the virtual world is shown on a panoramic 330° CAVE2 TM. A pilot expert study with eight participants was conducted using pre-configured tours through 3D models. The comparison of the manual and automatic stereoscopic adjustment showed that the proposed approach is an appropriate alternative to the nowadays commonly used head tracking-based stereoscopic adjustment.

The investigation of form-function relationships requires a detailed understanding of anatomical systems. Here we document the 3-dimensional morphology of the cranial musculoskeletal anatomy in the Australian Laughing Kookaburra Dacelo novaeguineae, with a focus upon the geometry and attachments of the jaw muscles in this species. The head of a deceased specimen was CT scanned, and an accurate 3D representation of the skull and jaw muscles was generated through manual segmentation of the CT scan images, and augmented by dissection of the specimen. We identified 14 major jaw muscles: 6 in the temporal group (M. adductor mandibulae and M. pseudotemporalis), 7 in the pterygoid group (M. pterygoideus dorsalis and M. pterygoideus ventralis), and the single jaw abductor M. depressor mandibulae. Previous descriptions of avian jaw musculature are hindered by limited visual representation and inconsistency in the nomenclature. To address these issues, we: (1) present the 3D model produced from the segmentation process as a digital, fully interactive model in the form of an embedded 3D image, which can be viewed from any angle, and within which major components can be set as opaque, transparent, or hidden, allowing the anatomy to be visualised as required to provide a detailed understanding of the jaw anatomy; (2) provide a summary of the nomenclature used throughout the avian jaw muscle literature. The approach presented here provides considerable advantages for the documentation and communication of detailed anatomical structures in a wide range of taxa.

Many advances in science now require sophisticated scientific software applications that facilitate data and computationally intensive experiments. However, the effective utilization of existing computational power e.g., grid and cloud platforms depends on the capabilities of scientists to implement parallel, scalable code for such experiments. Currently, tools aimed at supporting scientists are either very limited to specific domains, or require significant development using low-level code. We describe our work towards a more end user-friendly scientific applications development process, notations and toolset. We introduce a scientific application designer intended for use primarily by scientists to enable them in describing workflow, processes, entities, formulae, computation and ultimately realization code for different computing platforms. This is achieved via a set of integrated, domain-specific visual and textual languages (DSVLs). A web-based modeling tool supports definition of new DSVLs and modeling of these applications. We are currently extending our tool to support generation of multicore and GPU implementations, and visualization of results.

A gunfight between police and a gang of men led by the self-styled "Captain Moonlite", a.k.a. George Scott, occurred on 16th November 1879 at a farmhouse near Wantabadgery Station in the colony of New South Wales. The skirmish resulted in the deaths of two bushrangers and one police officer. As a result, Captain Moonlite and Thomas Rogan were hung in Sydney's Darlinghurst Gaol on 20 January 1880 for the murder of Constable Edward Webb-Bowen. Culpability for firing the fatal shot, however, has remained a source of controversy. Information obtained from an analysis of historical records was used to guide an archeological excavation at the scene of the shooting in which Terrestrial Laser Scanning (TLS) technology was employed to produce a digital (3D) terrain model of the siege location. Utilizing the terrain model, the relative positions of Moonlite, Webb-Bowen, and the other gang members were established with possible projectile trajectories plotted. This, in combination with inquest evidence from a gun maker and the medical practitioner who examined Constable Webb-Bowen's wound, indicates that the most likely shooter was Gus Warnicke, aged 15 years, the youngest member of the gang, who was also killed in the exchange of fire.