BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Democratising high-quality live-cell super-resolution microscopy e
 nabled by open-source analytics in ImageJ - Ricardo Henriques\, MRC-Labora
 tory for Molecular Cell Biology\, University College London
DTSTART:20180425T093000Z
DTEND:20180425T103000Z
UID:TALK104563@talks.cam.ac.uk
CONTACT:Patrick Flagmeier
DESCRIPTION:In this talk I will present some of the high-performance open-
 source approaches we have developed for ImageJ\, namely the SRRF and SQUIR
 REL approaches. SRRF (reads as surf) is a new super-resolution method capa
 ble of enabling live-cell nanoscopy with illumination intensities orders o
 f magnitude lower than methods such as SMLM or STED. The capacity of SRRF 
 for low-photoxicity\, allows unprecedented imaging for long acquisition ti
 mes at resolution equivalent or better than SIM. We demonstrate\, using SR
 RF\, live-cell super-resolution images of microtubule\, mitochondrial dyna
 mics\, the dynamic nanoscale reorganisation of HIV-1 host receptors\, as w
 ell as extensive cortical actin remodelling during the formation of the im
 munological T-cell synapse. For the second part of the talk\, I will intro
 duce SQUIRREL\, an analytical approach that provides quantitative assessme
 nt of super-resolution image quality\, capable of guiding researchers in o
 ptimising imaging parameters. By comparing diffraction-limited images and 
 super-resolution equivalents of the same acquisition volume\, this approac
 h generates a quality score and quantitative map of super-resolution defec
 ts. To illustrate its broad applicability to super-resolution approaches\,
  we demonstrate how we have used SQUIRREL to optimise several image acquis
 ition and analysis pipelines. Namely\, we demonstrate automated benchmarki
 ng of different single molecule localisation algorithms on a single datase
 t\; optimisation of DNA-PAINT imaging of clathrin coated pits\; cross-vali
 dation of single molecule\, STED and SIM images of poxviruses\; and maximi
 sing the quality of single molecule localisation data of neuronal actin ri
 ngs. By showing the quantitative evolution of data quality over these vari
 ed sample preparation\, acquisition and super-resolution methods we displa
 y the potential of NanoJ-SQUIRREL to guide optimisation of super-resolutio
 n imaging parameters.
LOCATION:Department of Chemistry\, Cambridge\, Unilever lecture theatre
END:VEVENT
END:VCALENDAR