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PRODID:-//Memento EPFL//
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SUMMARY:Democratising high-quality live-cell super-resolution microscopy e
 nabled by open-source analytics in ImageJ
DTSTART:20180214T111500
DTEND:20180214T121500
DTSTAMP:20260510T135204Z
UID:319dc4e8c5a3accc6018f13694b4fe8768c0ee18b653807ad3322e12
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ricardo Henriques\nIn this talk I will present some of the hig
 h-performance open-source approaches we have developed for ImageJ\, namely
  the SRRF and SQUIRREL approaches. SRRF (reads as surf) is a new super-res
 olution method capable of enabling live-cell nanoscopy with illumination i
 ntensities orders of magnitude lower than methods such as SMLM or STED. Th
 e capacity of SRRF for low-photoxicity\, allows unprecedented imaging for 
 long acquisition times at resolution equivalent or better than SIM. We dem
 onstrate\, using SRRF\, live-cell super-resolution images of microtubule\,
  mitochondrial dynamics\, the dynamic nanoscale reorganisation of HIV-1 ho
 st receptors\, as well as extensive cortical actin remodelling during the 
 formation of the immunological T-cell synapse. For the second part of the 
 talk\, I will introduce SQUIRREL\, an analytical approach that provides qu
 antitative assessment of super-resolution image quality\, capable of guidi
 ng researchers in optimising imaging parameters. By comparing diffraction-
 limited images and super- resolution equivalents of the same acquisition v
 olume\, this approach generates a quality score and quantitative map of su
 per-resolution defects. To illustrate its broad applicability to super-res
 olution approaches\, we demonstrate how we have used SQUIRREL to optimise 
 several image acquisition and analysis pipelines. Namely\, we demonstrate 
 automated benchmarking of different single molecule localisation algorithm
 s on a single dataset\; optimisation of DNA-PAINT imaging of clathrin coat
 ed pits\; cross-validation of single molecule\, STED and SIM images of pox
 viruses\; and maximising the quality of single molecule localisation data 
 of neuronal actin rings. By showing the quantitative evolution of data qua
 lity over these varied sample preparation\, acquisition and super-resoluti
 on methods we display the potential of NanoJ SQUIRREL to guide optimisatio
 n of super- resolution imaging parameters.
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202
STATUS:CONFIRMED
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