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to advancing understanding of brain circuitry. The laboratory currently has multiple collaborative R01 funded grants from NIMH and NIDA with Drs. Hearing, John Mantsch (Medical College of Wisconsin), and Robert
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, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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-Voltage (IV) curve, Dark IV, Electroluminescence (EL), UV-Fluorescence imaging (UVF), Infrared (IR) imaging). Material characteristics (X-ray Photoelectron Spectroscopy (XPS), Fourier Transform Infrared
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NHMRC Centre of Research Excellence and is the Primary Investigator on an ARC Discovery Project, Medical Research Future Fund and National Centre for Healthy Ageing grants. Dr Ayton also has multiple
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photonics, nonlinear and quantum optics, guidance systems, artificial intelligence, sensor technologies, imaging, sensing and display – to name a few. TISTEF collaborates with many national and international