Imaging Seminar - Future of Bioimaging: Next Generation Instruments & Artificial Intelligence
Event details
| Date | 19.10.2023 |
| Hour | 17:00 › 18:00 |
| Speaker | Dr Loïc Royer, Chan Zuckerberg BioHub |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
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Abstract:
Imaging and comprehending life's processes, from the localization of proteins in cells to the complex cellular choreography in developing embryos, requires the unique synergies that arise from an interdisciplinary approach. From its inception, my team's strategy has been to drive imaging innovations on three fronts by: (i) developing novel state-of-the-art fluorescence imaging instruments that can capture in ever-increasing spatiotemporal resolution and scale the complex dance of cells in large living specimens, (ii) leveraging self-supervised deep-learning approaches to process and analyze bioimage data, (iii) making an effort to widely disseminate our algorithmic approaches via open-source and easy-to-use packages. In this talk, I will delve into the array of hardware and algorithmic technologies we've engineered, including the development of advanced light-sheet microscopes (DaXi), novel methods for self-supervised learning for bioimaging (CytoSelf), fast and scalable image processing for light-sheet time-lapse data (DEXP), high-accuracy cell tracking at scale in developing embryos (ultrack), fast, robust, and user-friendly image denoising (Aydin, Noise2Self), and using napari and large language models for accelerating the dissemination of bioimaging skills and methods (Omega). I will also share my vision of the future of bioimage analysis and what I believe the future holds.
Biography:
Royer first studied engineering, math, and physics in his native France. He then obtained a master’s degree in artificial intelligence, specializing in cognitive robotics, followed by a Ph.D. in bioinformatics from the Dresden University of Technology in Germany. As a member of Gene Myers’ lab, first at HHMI’s Janelia Research Campus and then at the Max Planck Institute of Molecular Cell Biology and Genetics, he developed the first “self-driving” multi-view light-sheet microscope. Royer is fascinated by a seemingly simple but quite complex question: How do organisms develop from a single cell into a fully functional body with billions of self-organizing cells that form tissues and have different functions? He believes that solving this question will require expertise across computer science, advanced microscopy, and biology. To that end, Royer’s pluridisciplinary team designs and builds novel state-of-the-art light-sheet microscopes, develops deep learning-based image processing and analysis algorithms, and is using these technologies to build a time-resolved and multimodal atlas of vertebrate development, using zebrafish as model organisms.
The talk is followed by an aperitif.
Registration appreciated
More info here
Abstract:
Imaging and comprehending life's processes, from the localization of proteins in cells to the complex cellular choreography in developing embryos, requires the unique synergies that arise from an interdisciplinary approach. From its inception, my team's strategy has been to drive imaging innovations on three fronts by: (i) developing novel state-of-the-art fluorescence imaging instruments that can capture in ever-increasing spatiotemporal resolution and scale the complex dance of cells in large living specimens, (ii) leveraging self-supervised deep-learning approaches to process and analyze bioimage data, (iii) making an effort to widely disseminate our algorithmic approaches via open-source and easy-to-use packages. In this talk, I will delve into the array of hardware and algorithmic technologies we've engineered, including the development of advanced light-sheet microscopes (DaXi), novel methods for self-supervised learning for bioimaging (CytoSelf), fast and scalable image processing for light-sheet time-lapse data (DEXP), high-accuracy cell tracking at scale in developing embryos (ultrack), fast, robust, and user-friendly image denoising (Aydin, Noise2Self), and using napari and large language models for accelerating the dissemination of bioimaging skills and methods (Omega). I will also share my vision of the future of bioimage analysis and what I believe the future holds.
Biography:
Royer first studied engineering, math, and physics in his native France. He then obtained a master’s degree in artificial intelligence, specializing in cognitive robotics, followed by a Ph.D. in bioinformatics from the Dresden University of Technology in Germany. As a member of Gene Myers’ lab, first at HHMI’s Janelia Research Campus and then at the Max Planck Institute of Molecular Cell Biology and Genetics, he developed the first “self-driving” multi-view light-sheet microscope. Royer is fascinated by a seemingly simple but quite complex question: How do organisms develop from a single cell into a fully functional body with billions of self-organizing cells that form tissues and have different functions? He believes that solving this question will require expertise across computer science, advanced microscopy, and biology. To that end, Royer’s pluridisciplinary team designs and builds novel state-of-the-art light-sheet microscopes, develops deep learning-based image processing and analysis algorithms, and is using these technologies to build a time-resolved and multimodal atlas of vertebrate development, using zebrafish as model organisms.
The talk is followed by an aperitif.
Registration appreciated
More info here
Practical information
- General public
- Free
Organizer
- EPFL Center for Imaging