AI Microscopy Symposium, 8th edition скачать в хорошем качестве

AI Microscopy Symposium, 8th edition

Presented By: Martin Priessner, PhD Helen Spiers, PhD Speaker Biography: Dr. Priessner is currently working as a postdoc at Astrazeneca in Gothenburg in collaboration with Professor Jonathan Goodman from Cambridge University and his project centers around the application of deep learning for automatic structure elucidation using nuclear magnetic residence data. In his PhD, Dr. Priessner was working on strategies for improving microscopy framerates using machine learning techniques and he developed fluorescence copper probes for the detection of copper(I) in cells. He is a chemist by training (Vienna University of Technology) and obtained another master's in Neurotechnology (Imperial College London). His research interest is in applying AI solutions to scientific problems to improve measurement techniques and automate the analysis of data. Dr Helen Spiers is Biomedical Research Lead of the Zooniverse and a CZI Imaging Scientist Fellow. Based at the Francis Crick Institute in London. Helen works with many research teams around the world to develop novel citizen science projects tackling a range of biomedical research questions. Helen also studies the phenomenon of citizen science, and is currently examining multiple aspects of volunteer experience across the Zooniverse. Prior to her current position, Helen completed a PhD in developmental epigenetics at King's College London, worked as a Medical Writer for two years, and obtained a degree in Biochemistry from the University of Oxford. Webinar: AI Microscopy Symposium, 8th edition Webinar Abstract: The AI Microscopy Symposium offers an unique forum for presenting and discussing the latest AI-based technologies and tools in the field of microscopy and biomedical imaging. Additionally, the symposium highlights scientific breakthroughs which are enabled by ML or DL technologies. In the last four years, microscopists have started to use "AI-based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image classification, segmentation, restoration, super resolution and virtual staining. In this edition, you will hear from two speakers. Martin Priessner: Content-aware frame interpolation (CAFI): Deep learning-based temporal super-resolution for fast bioimaging Helen Spiers: Etch A Cell – citizen science for collective segmentation of serial electron micrographs LabRoots on Social: Facebook:   / labrootsinc   Twitter:   / labroots   LinkedIn:   / labroots   Instagram:   / labrootsinc   Pinterest:   / labroots   SnapChat: labroots_inc