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SUMMARY:Computational imaging and modeling for cellular and nuclear biolog
 y
DTSTART:20181218T140000
DTEND:20181218T150000
DTSTAMP:20260406T214518Z
UID:8e69843269e579f3b3487663ea994579dccfdb33adb276ea3e34553a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Christophe Zimmer\n\nhttps://research.pasteur.fr/en/team/imagi
 ng-and-modeling/\nMicroscopy has fueled biological discoveries for centuri
 es\, but technical progress during the last decades has greatly expanded t
 he type and quantity of biological information that can be revealed by ima
 ging. Advances in instrumentation\, labeling and computation are driving a
 n imaging data tsunami on par with that of DNA sequencing. We illustrate t
 his trend and discuss some of the challenges and opportunities that massiv
 e imaging data raise for our understanding of biological systems.\n\nRefer
 ences:\nZOLA-3D allows flexible 3D localization microscopy over an adjusta
 ble axial range. Andrey Aristov\, Benoit Lelandais\, Elena Rensen & C
 hristophe Zimmer Nature Communications Volume 9\, Article number: 2409
  (2018)\n\nDeep learning massively accelerates super-resolution localizat
 ion microscopy. Wei Ouyang\, Andrey Aristov\, Mickaël Lelek\, Xian Ha
 o & Christophe Zimmer Nature Biotechnology Volume 36\, pages 460–46
 8 (2018)
LOCATION:BSP 407 https://plan.epfl.ch/?room==BSP%20407
STATUS:CONFIRMED
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