AUTOMATED NANOFABRICATION AND MICROSCOPY
Instead of making transistors smaller, the scientific community is searching to utilise properties of novel materials, such as carbon nanotubes, nanowires, graphene and other nanomaterials to improve transistor performance.
Nanomaterial growth and deposition are random processes and are difficult to control, making fabrication of nanomaterial-based electronics difficult to scale up.
We introduce a computer-vision software to automate fabrication of nanomaterial-based devices.
We reduce the device fabrication time from a couple of weeks to a couple of hours, saving money, time and energy use and reducing the associated carbon footprint of research and development.
Correlating microscopy images for a range of techniques and materials.
Developing material database to speed-up research and enable rapid prototyping.
Developing scalable manufacturing processes of nanomaterial devices.
Correlating data sets from tissues to sub-cellular structures and enabling live-cell imaging.