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UID:976@biotech.technion.ac.il
DTSTART;TZID=Asia/Jerusalem:20201202T160000
DTEND;TZID=Asia/Jerusalem:20220202T164952
DTSTAMP:20220512T124720Z
URL:https://biotech.technion.ac.il/events/next-generation-localization-mic
 roscopy-or-how-and-why-to-ruin-a-perfectly-good-microscope-2/
SUMMARY:Next generation localization microscopy - or - how and why to ruin 
 a perfectly good microscope
DESCRIPTION:In localization microscopy\, the positions of individual nanosc
 ale point emitters (e.g. fluorescent molecules) are determined at high pre
 cision from their point-spread functions (PSFs). This enables highly preci
 se single/multiple-particle-tracking\, as well as super-resolution microsc
 opy\, namely single molecule localization microscopy (SMLM). To obtain 3D 
 localization\, we employ PSF engineering – namely\, we physically modify
  the standard PSF of the microscope\, to encode the depth position of the 
 emitter. In this talk I will describe how this method enables unprecedente
 d capabilities in localization microscopy\; specific applications include 
 dense emitter fitting for super-resolution microscopy\, multicolor imaging
  from grayscale data\, volumetric multi-particle tracking/imaging\, dynami
 c surface profiling\, and high-throughput in-flow colocalization in live c
 ells. We often combine the optical encoding method with neural nets (deep-
 learning) for decoding\, namely\, image reconstruction. However\, our use 
 of neural nets is not limited to image processing\; we use nets to design 
 the optimal optical acquisition system in a task-specific manner.\n\n \n\
 nAbstract
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