Staff scientist , The Rosalind Franklin Institute, Harwell Science & Innovation Campus, Didcot, UK.
Professor of Industrial Engineering, Faculty of Engineering & Science, University of Greenwich
Abner Velazco-Torrejon, The Rosalind Franklin Institute:
Radiation damage reduction by a non-conventional scan strategy in STEM.
Gianluca Tozzi, School of Engineering, University of Greenwich, UK:
Imaging-based measurements and artificial intelligence for advanced characterisation of musculoskeletal tissues and biomaterials
Natalie Reznikov, Department of Bioengineering, McGill University, Montreal, Canada:
Techniques for 3D imaging and image analysis in biomineralization. State of affairs, trends and aspirations.
Nigel D. Browning, University of Liverpool, UK:
The Advantages of Sparse Sampling and Inpainting for High Resolution, In-situ and Ultrafast Electron Microscopy
Staff scientist , The Rosalind Franklin Institute, Harwell Science & Innovation Campus, Didcot, UK.
Abner received his MSc degree in physics from the Universidad Nacional de Ingenieria, Peru. In 2017, as a PhD student, he joined the electron microscopy group (EMAT) from the University of Antwerp, Belgium. He is currently a staff scientist at the Rosalind Franklin Institute. His research has focused in the application of compressed sensing and related scan strategies in STEM to reduce the effects of beam damage.
Radiation damage reduction by a non-conventional scan strategy in STEM Tuesday @ 9:30 AM
Professor of Industrial Engineering, Faculty of Engineering & Science, University of Greenwich
Gianluca Tozzi is Professor of Industrial Engineering at the School of Engineering, University of Greenwich. He has pioneered research that advanced the understanding of biological tissues and biomaterials through the integration of high-resolution X-ray tomography, experimental mechanics, full-field measurement techniques such as digital volume correlation and artificial intelligence. Prof Tozzi published extensively and serves as reviewer for UK/International funding agencies and peer-reviewed journals. He has secured funding from various grants as well as direct support from industry, where the research produced a tangible impact with commercial exploitation.
Imaging-based measurements and artificial intelligence for advanced characterisation of musculoskeletal tissues and biomaterials Wednesday @ 10:00 AM
McGill University, Canada
No bio provided
Techniques for 3D imaging and image analysis in biomineralization. State of affairs, trends and aspirations. Tuesday @ 2:00 PM
University of Liverpool
I am a PhD graduate from the School of Engineering at the University of Liverpool, where I worked with Prof. Nigel D. Browning on the development of compressive sensing for electron microscopy. I am also a co-founder of SenseAI, a spin-out company aiming to bring computational imaging techniques such as compressive sensing to microscopy platforms, with a focus on fast and low dose imaging.The Advantages of Sparse Sampling and Inpainting for High Resolution, In-situ and Ultrafast Electron Microscopy Wednesday @ 1:30 PM