Artificial Intelligence
Citizen Science
People-powered research, or citizen science, is the participation of non-experts in scientific research. There are many ways to take part in citizen science, but one popular way is through the Zooniverse platform.
Digital Twin Cell
Creating a digital replica of a living cell enabling researchers to perform virtual experiments and gain valuable insights into cell biology.
Applied Biological Data Science
How could we build cutting-edge Artificial Intelligence tools to translate biological data into scientific insights and ultimately to guide medical decision-making?
Machine Vision for Bioimaging
Many biological questions can only be answered through visualisation. Seeing is believing, however seeing something that is biologically interesting usually also requires image processing to turn that qualitative observation into quantitative information.
Advanced Research Computing
The Franklin develops state of the art digital infrastructure to enable cutting edge research. Our interdisciplinary research generates a variety of data structures and sizes that all need to be stored, curated and process to give data driven insights.
Experimental Artificial Intelligence
The Franklin collects a significant amount of experimental data every year and it is paramount to the scientific process that the data collected is the best it can be.
Using AI to improve the analysis of 3D biological images
Scientists have developed a new machine learning model, known as Affinity-VAE, that improves the analysis of 3D biological images in fields such as cryo-electron tomography (cryo-ET). By making use of prior knowledge about protein structures, the model can identify clusters…