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BEGIN:VEVENT
DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess325_spost122@linklings.com
SUMMARY:Accelerating Microscope Data Analysis Using Parallel Computing
DESCRIPTION:ACM Student Research Competition, Poster\nTech Program Reg Pas
 s, Exhibits Reg Pass\n\nAccelerating Microscope Data Analysis Using Parall
 el Computing\n\nRavi\n\nSingle-Molecule Localization Microscopy (SMLM) tec
 hniques deal with the diffraction limit of fluorescent microscopy by local
 izing single molecules with high precision by stochastically switching mol
 ecules on and off. Thousands of camera frames containing subsets of blinki
 ng molecules are recorded to obtain a single super-resolution image. Each 
 blinking molecule in each frame is subjected to localization protocols tha
 t fit the shape of the blink, assess the quality of the blink and then est
 imate their center. The algorithm implemented originally in MATLAB and com
 piled CUDA C, to compute a ‘Super Resolution’ image took around 6 minutes 
 to process 256x256 pixel images of a moderately dense dataset. I ported th
 e algorithm to C++ and parallelized it using OpenMP to compute multiple fr
 ames in parallel.
URL:https://sc18.supercomputing.org/presentation/?id=spost122&sess=sess325
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