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We are delighted to welcome Artur Yakimovich as the first speaker of our AI Lab seminar series. We hope to welcome as many interested scientists as possible to the seminar at Oncoray.
Advanced microscopy techniques, including three-dimensional, super-resolution and quantitative phase microscopy remain at the forefront of biomedical discovery. These methods enable researchers to visualise complex molecular processes and interactions at the level of single molecules or molecular complexes, capturing yet unseen information and pushing the boundaries of our understanding of health and disease. These innovations have been made possible, among others, through rapid progress in biophotonics, as well as computational processing and analysis of image-based data. However, advanced biophotonics comes at the cost of complex equipment, as well as difficult and lengthy data acquisition and necessitates highly-trained personnel. We demonstrate in several works that this hurdle can be addressed using generative and discriminative AI algorithms by formulating the conversion from conventional microscopy modalities like widefield to advanced like super-resolution as a set of inverse problems. We show that incorporating nuance of the data domain into the algorithm design, as well as leveraging synthetic data pre-training, leads to better performance in these algorithms.
We are grateful that Oncoray is hosting this event! We hope that this caters to a large audience from all HZDR sites and provides apt opportunity to attend in-person.
Please register so we can plan for extra chairs if required.