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SUMMARY:STORM below the localisation limit - Susan Cox\, Kings College Lon
 don
DTSTART:20101027T103000Z
DTEND:20101027T113000Z
UID:TALK26165@talks.cam.ac.uk
CONTACT:Duncan Simpson
DESCRIPTION:Localisation-based imaging methods such as stochastic optical 
 reconstruction microscopy (STORM) and photoactivatable localization micros
 copy have allowed fluorescence imaging with a resolution of tens of nm. Th
 ese methods have two limitations. First\, the resolution is limited by the
  number of photons emitted in one frame\, so even if a fluorophore appears
  in more than one frame the localisation accuracy is not improved. Secondl
 y\, since the image is reconstructed from single fluorophore localisations
 \, only a very small number of fluorophores can be in an emitting state in
  each frame. This results in long imaging times\, and the data from overla
 pping fluorophores being discarded. Here we describe how these limitations
  can be overcome with Bayesian analysis by modelling the entire dataset as
  being generated by a number of blinking fluorophores. This means that a s
 ingle fluorophore can contribute to the data in many frames\, improving th
 e localisation. This technique can also deal with a large number of overla
 pping fluorophores\, decreasing the number of frames required to form an i
 mage. Using this new method we are able to demonstrate resolution as fine 
 as 6 nm on biological samples with non-photoswitchable fluorophores. \n
LOCATION:Seminar Room\, Centre for Physics of Medicine (PoM)
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