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SUMMARY:Imaging Seminar - Future of Bioimaging: Next Generation Instrument
 s & Artificial Intelligence
DTSTART:20231019T170000
DTEND:20231019T180000
DTSTAMP:20260528T191224Z
UID:b0ff0e347a48f7505bb6f3ad9d2d4e8fddc434a2aea72925ba94a466
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Loïc Royer\, Chan Zuckerberg BioHub\n<< Registration belo
 w >>\n\nAbstract:\nImaging and comprehending life's processes\, from the l
 ocalization of proteins in cells to the complex cellular choreography in d
 eveloping embryos\, requires the unique synergies that arise from an inter
 disciplinary 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-incre
 asing spatiotemporal resolution and scale the complex dance of cells in la
 rge living specimens\, (ii) leveraging self-supervised deep-learning appro
 aches to process and analyze bioimage data\,  (iii) making an effort to w
 idely disseminate our algorithmic approaches via open-source and easy-to-u
 se packages. In this talk\, I will delve into the array of hardware and a
 lgorithmic technologies we've engineered\, including the development of ad
 vanced light-sheet microscopes (DaXi)\, novel methods for self-supervised 
 learning for bioimaging (CytoSelf)\, fast and scalable image processing fo
 r light-sheet time-lapse data (DEXP)\, high-accuracy cell tracking at scal
 e in developing embryos (ultrack)\, fast\, robust\, and user-friendly imag
 e 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.\n\nBiography:\nRoyer first studied 
 engineering\, math\, and physics in his native France. He then obtained a 
 master’s degree in artificial intelligence\, specializing in cognitive r
 obotics\, followed by a Ph.D. in bioinformatics from the Dresden Universit
 y of Technology in Germany. As a member of Gene Myers’ lab\, first at HH
 MI’s Janelia Research Campus and then at the Max Planck Institute of Mol
 ecular 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 t
 hat form tissues and have different functions? He believes that solving th
 is question will require expertise across computer science\, advanced micr
 oscopy\, and biology. To that end\, Royer’s pluridisciplinary team desig
 ns and builds novel state-of-the-art light-sheet microscopes\, develops de
 ep learning-based image processing and analysis algorithms\, and is using 
 these technologies to build a time-resolved and multimodal atlas of verteb
 rate development\, using zebrafish as model organisms.\n\nThe talk is foll
 owed by an aperitif. \nRegistration appreciated\nMore info here
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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