Barcode scanner microscope films neurons firing
24 Feb 2017
"Scientists can use our new microscope to analyse complex medical problems ranging from blood disorders and cancer to neurological disorders," said Dr Lee, an ARC Discovery Early Career Researcher Award Fellow at the ANU Research School of Engineering.
"The microscope can speed up or slow down to capture the slow moving cells in a blood stream or live neurons firing rapidly in the brain, making it much more flexible than other microscopes on the market."
Dr Lee said the microscope used technology similar to retail barcode scanners and office laser printers.
In barcode scanners, a laser beam bounces off a spinning polygon mirror, allowing it to scan across a sample very quickly. A barcode scanner registers a sequence of patterns to identify a product. A polygon mirror usually has around 10 mirror facets.
Dr Lee said the team's microscope used a more powerful laser beam as the light source and up to 36 mirror facets to scan the laser beam across the biological sample in a few thousandths of a second.
"We achieve the same imaging resolution of conventional scanning microscopes on the market but at double the speed," he said.
"The innovation here is that we modernised the polygon mirror microscopy system with advanced electronics and software controls to enable real-time imaging applications, with up to 800 frames per second."
The research is published in the Journal of Biophotonics.
Lead author Yongxiao Li, a PhD student from the ANU Research School of Engineering, said the customised open-source software made the microscope a flexible imaging tool.
"We built this very sophisticated microscope over about one year in collaboration with leading experts here in Australia and in the United States," Li said.
The collaboration involved immunologists and neuroscientists from The John Curtin School of Medical Research (JCSMR), a microscopist at the Imaging and Cytometry Facility at JCSMR, a biomedical scientist at the University of New South Wales and a biomedical engineer from Harvard University in the US.
The research was supported by the ARC DECRA Fellowship and ARC Centre of Excellence in Advanced Molecular Imaging.
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