Medical Researchers are constantly looking for ways to be able to conduct more experiments, innovate at a faster rate and derive meaningful research outcomes more quickly. One of the major barriers to achieving this is long processing times due to giant datasets. A combined industry and research partnership, large-scale on-demand compute and the cloud has been key to making inroads to solving this very common challenge.
DiUS and the Walter Eliza Hall Institute of Medical Research (WEHI) have been working on approaches to accelerate the capture, processing and analysis of bioimagery and microscopy data used in the research labs at WEHI. In this talk, Pavi and Lachlan will share a case study starting with a background on microscope development and a synopsis of state-of-the-art microscopy techniques requiring large scale compute. The session will then launch into a discussion of scaling complex image analysis using Fiji, a bio-science image analysis package and dealing with ever-growing bioimaging datasets.
You will learn about the development of tailored high performance compute (HPC) platforms on AWS to enable this kind of research as well as the 'convention-over-configuration' framework developed by DiUS as a repeatable solution. Lower level technical considerations around network integration, efficient data movement and cluster compute approaches using CfnCluster on AWS will also be discussed in detail.
Speakers: Lachlan Whitehead, PhD, BioImage Analyst and Microscopy Walter and Eliza Hall Institute of Medical Research & Pavi De Alwis, Snr.Software Engineer, DiUS