3D biomedical animations are a powerful tool to explain complex biological concepts to diverse audiences. The COVID-19 pandemic underscored their importance, showcasing how these animations play a key role in informing, raising awareness, and educating the public on molecular processes and scientific discoveries.
As our understanding of health and disease evolves, so does the need for accurate and clear visual representations. Join us on your first step into the future of biomedical communication!
What will I learn?
In this course, you'll reference a COVID-19 animation created by the 3DXLab to learn the full pipeline for creating 3D biomedical animations.
You'll cover:
- Researching and designing your animation story.
- Working with molecular models from the Protein Data Bank (PDB).
- Best practices for 3D CGI lighting, texturing, rendering, animation, and shot composition.
- Approaching sound design and disseminating your final animation.
By the end of the course, you'll have a core understanding of the planning and processes involved in 3D biomedical animation, equipping you with the skills and knowledge to start your own projects.
How will I learn?
This 100% online course is designed for self-paced, self-directed learning. You'll engage with video lectures and activities to introduce you to 3D biomedical animation.
The total volume of learning is 5 hours.
Who should take this course?
This course is ideal for students and beginners with an interest in 3D biomedical animation, suitable for those with backgrounds in science or art and design. It focuses on planning and designing accurate animations to communicate science to varied audiences. Whether you're seeking additional skills for a competitive edge, looking for a challenge, kickstarting your studies, or pursuing professional development, this course will provide the foundation you need.
Course Convenor:
Professor John McGhee is the Director and Founder of the award-winning UNSW 3DXLab. His academic research work explores arts-led and design-led modes of visualising 3D complex scientific data. John’s research investigates the application of creative practice, technical innovation and immersive platforms to new data visualisation challenges. Areas of research include 3D virtual world design, reality capture, 3D simulation, 3D computer animation, VFX, 3D biomedical visualisation & Animation and reflective practice.